Pandas Profiling Report

Dataset statistics

Number of variables	62
Number of observations	135
Missing cells	3407
Missing cells (%)	40.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	65.5 KiB
Average record size in memory	496.9 B

Variable types

Numeric	13
Categorical	39
Unsupported	10

Alerts

`airdate` has constant value "2020-12-25"	Constant
`_embedded.show._links.nextepisode.href` has constant value "https://api.tvmaze.com/episodes/2338363"	Constant
`_embedded.show.network.id` has constant value "239.0"	Constant
`_embedded.show.network.name` has constant value "Россия 1"	Constant
`_embedded.show.network.country.name` has constant value "Russian Federation"	Constant
`_embedded.show.network.country.code` has constant value "RU"	Constant
`_embedded.show.network.country.timezone` has constant value "Asia/Kamchatka"	Constant
`_embedded.show.dvdCountry.name` has constant value "Russian Federation"	Constant
`_embedded.show.dvdCountry.code` has constant value "RU"	Constant
`_embedded.show.dvdCountry.timezone` has constant value "Asia/Kamchatka"	Constant
`url` has a high cardinality: 135 distinct values	High cardinality
`name` has a high cardinality: 121 distinct values	High cardinality
`_links.self.href` has a high cardinality: 135 distinct values	High cardinality
`_embedded.show.url` has a high cardinality: 80 distinct values	High cardinality
`_embedded.show.name` has a high cardinality: 80 distinct values	High cardinality
`_embedded.show.premiered` has a high cardinality: 61 distinct values	High cardinality
`_embedded.show.officialSite` has a high cardinality: 69 distinct values	High cardinality
`_embedded.show.image.medium` has a high cardinality: 75 distinct values	High cardinality
`_embedded.show.image.original` has a high cardinality: 75 distinct values	High cardinality
`_embedded.show.summary` has a high cardinality: 72 distinct values	High cardinality
`_embedded.show._links.self.href` has a high cardinality: 80 distinct values	High cardinality
`_embedded.show._links.previousepisode.href` has a high cardinality: 80 distinct values	High cardinality
`image.medium` has a high cardinality: 53 distinct values	High cardinality
`image.original` has a high cardinality: 53 distinct values	High cardinality
`id` is highly correlated with `_embedded.show.id` and 1 other fields	High correlation
`season` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`number` is highly correlated with `_embedded.show.rating.average`	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 1 other fields	High correlation
`rating.average` is highly correlated with `_embedded.show.runtime`	High correlation
`_embedded.show.id` is highly correlated with `id` and 3 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `season` and 5 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 1 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 2 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.rating.average`	High correlation
`id` is highly correlated with `_embedded.show.weight`	High correlation
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 1 other fields	High correlation
`rating.average` is highly correlated with `_embedded.show.runtime`	High correlation
`_embedded.show.id` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `season` and 5 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 2 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `_embedded.show.id` and 1 other fields	High correlation
`id` is highly correlated with `_embedded.show.id` and 1 other fields	High correlation
`season` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 1 other fields	High correlation
`rating.average` is highly correlated with `_embedded.show.runtime`	High correlation
`_embedded.show.id` is highly correlated with `id` and 2 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 3 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `season` and 4 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 1 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 1 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.rating.average`	High correlation
`id` is highly correlated with `airstamp` and 31 other fields	High correlation
`season` is highly correlated with `number` and 21 other fields	High correlation
`number` is highly correlated with `season` and 22 other fields	High correlation
`type` is highly correlated with `summary` and 14 other fields	High correlation
`airtime` is highly correlated with `number` and 27 other fields	High correlation
`airstamp` is highly correlated with `id` and 35 other fields	High correlation
`runtime` is highly correlated with `id` and 31 other fields	High correlation
`summary` is highly correlated with `id` and 35 other fields	High correlation
`rating.average` is highly correlated with `id` and 29 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 31 other fields	High correlation
`_embedded.show.url` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.name` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.type` is highly correlated with `id` and 31 other fields	High correlation
`_embedded.show.language` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.status` is highly correlated with `id` and 31 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `season` and 27 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `id` and 34 other fields	High correlation
`_embedded.show.premiered` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.ended` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.officialSite` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.schedule.time` is highly correlated with `season` and 31 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 33 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `id` and 31 other fields	High correlation
`_embedded.show.webChannel.name` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.webChannel.country.name` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.webChannel.country.code` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.webChannel.country.timezone` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.webChannel.officialSite` is highly correlated with `id` and 33 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.externals.imdb` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.image.medium` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.image.original` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.summary` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show.updated` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show._links.self.href` is highly correlated with `id` and 37 other fields	High correlation
`_embedded.show._links.previousepisode.href` is highly correlated with `id` and 37 other fields	High correlation
`image.medium` is highly correlated with `id` and 35 other fields	High correlation
`image.original` is highly correlated with `id` and 35 other fields	High correlation
`number` has 6 (4.4%) missing values	Missing
`runtime` has 19 (14.1%) missing values	Missing
`image` has 135 (100.0%) missing values	Missing
`summary` has 90 (66.7%) missing values	Missing
`rating.average` has 112 (83.0%) missing values	Missing
`_embedded.show.language` has 4 (3.0%) missing values	Missing
`_embedded.show.runtime` has 69 (51.1%) missing values	Missing
`_embedded.show.averageRuntime` has 18 (13.3%) missing values	Missing
`_embedded.show.ended` has 87 (64.4%) missing values	Missing
`_embedded.show.officialSite` has 27 (20.0%) missing values	Missing
`_embedded.show.rating.average` has 112 (83.0%) missing values	Missing
`_embedded.show.network` has 135 (100.0%) missing values	Missing
`_embedded.show.webChannel.country.name` has 71 (52.6%) missing values	Missing
`_embedded.show.webChannel.country.code` has 71 (52.6%) missing values	Missing
`_embedded.show.webChannel.country.timezone` has 71 (52.6%) missing values	Missing
`_embedded.show.webChannel.officialSite` has 52 (38.5%) missing values	Missing
`_embedded.show.dvdCountry` has 135 (100.0%) missing values	Missing
`_embedded.show.externals.tvrage` has 135 (100.0%) missing values	Missing
`_embedded.show.externals.thetvdb` has 43 (31.9%) missing values	Missing
`_embedded.show.externals.imdb` has 63 (46.7%) missing values	Missing
`_embedded.show.image.medium` has 10 (7.4%) missing values	Missing
`_embedded.show.image.original` has 10 (7.4%) missing values	Missing
`_embedded.show.summary` has 20 (14.8%) missing values	Missing
`_embedded.show._links.nextepisode.href` has 134 (99.3%) missing values	Missing
`image.medium` has 82 (60.7%) missing values	Missing
`image.original` has 82 (60.7%) missing values	Missing
`_embedded.show.network.id` has 134 (99.3%) missing values	Missing
`_embedded.show.network.name` has 134 (99.3%) missing values	Missing
`_embedded.show.network.country.name` has 134 (99.3%) missing values	Missing
`_embedded.show.network.country.code` has 134 (99.3%) missing values	Missing
`_embedded.show.network.country.timezone` has 134 (99.3%) missing values	Missing
`_embedded.show.network.officialSite` has 135 (100.0%) missing values	Missing
`_embedded.show.webChannel` has 135 (100.0%) missing values	Missing
`_embedded.show.webChannel.country` has 135 (100.0%) missing values	Missing
`_embedded.show.image` has 135 (100.0%) missing values	Missing
`_embedded.show.dvdCountry.name` has 134 (99.3%) missing values	Missing
`_embedded.show.dvdCountry.code` has 134 (99.3%) missing values	Missing
`_embedded.show.dvdCountry.timezone` has 134 (99.3%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`summary` is uniformly distributed	Uniform
`_links.self.href` is uniformly distributed	Uniform
`image.medium` is uniformly distributed	Uniform
`image.original` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links.self.href` has unique values	Unique
`image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.genres` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.schedule.days` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.dvdCountry` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.externals.tvrage` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network.officialSite` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel.country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.weight` has 8 (5.9%) zeros	Zeros

Reproduction

Analysis started	2022-09-05 04:45:12.594056
Analysis finished	2022-09-05 04:45:31.848051
Duration	19.25 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	135
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2065324.519

Minimum	1910449
Maximum	2353918
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1910449
5-th percentile	1950007.7
Q1	1982783
median	1993103
Q3	2161413.5
95-th percentile	2323794.3
Maximum	2353918
Range	443469
Interquartile range (IQR)	178630.5

Descriptive statistics

Standard deviation	126749.8324
Coefficient of variation (CV)	0.06137041963
Kurtosis	-0.5257644186
Mean	2065324.519
Median Absolute Deviation (MAD)	21032
Skewness	1.034037259
Sum	278818810
Variance	1.606552001 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1968115	1	0.7%
1986168	1	0.7%
2240457	1	0.7%
2240456	1	0.7%
2240455	1	0.7%
2197291	1	0.7%
2094667	1	0.7%
2074188	1	0.7%
2072228	1	0.7%
2051985	1	0.7%
Other values (125)	125	92.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1910449	1	0.7%
1924891	1	0.7%
1950003	1	0.7%
1950004	1	0.7%
1950005	1	0.7%
1950006	1	0.7%
1950007	1	0.7%
1950008	1	0.7%
1950009	1	0.7%
1950405	1	0.7%

Value	Count	Frequency (%)
2353918	1	0.7%
2347680	1	0.7%
2341527	1	0.7%
2336135	1	0.7%
2324417	1	0.7%
2324416	1	0.7%
2323795	1	0.7%
2323794	1	0.7%
2323793	1	0.7%
2292866	1	0.7%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	135
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	1
https://www.tvmaze.com/episodes/1986168/the-burning-river-1x18-episode-18	1
https://www.tvmaze.com/episodes/2240457/filly-funtasia-2x03-feathers-appear-when-angels-are-near	1
https://www.tvmaze.com/episodes/2240456/filly-funtasia-2x02-the-treasure-hunt	1
https://www.tvmaze.com/episodes/2240455/filly-funtasia-2x01-the-freshmen	1
Other values (130)	130

Length

Max length	171
Median length	95
Mean length	77.21481481
Min length	58

Characters and Unicode

Total characters	10424
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	135 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306
2nd row	https://www.tvmaze.com/episodes/2121269/fiksiki-4x18-sanki
3rd row	https://www.tvmaze.com/episodes/1984017/roast-battle-labelcom-1x15-15-dana-milohin
4th row	https://www.tvmaze.com/episodes/1991483/psih-s01-special-film-o-filme
5th row	https://www.tvmaze.com/episodes/1988016/muzskaa-tema-1x05-seria-5

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	1	0.7%
https://www.tvmaze.com/episodes/1986168/the-burning-river-1x18-episode-18	1	0.7%
https://www.tvmaze.com/episodes/2240457/filly-funtasia-2x03-feathers-appear-when-angels-are-near	1	0.7%
https://www.tvmaze.com/episodes/2240456/filly-funtasia-2x02-the-treasure-hunt	1	0.7%
https://www.tvmaze.com/episodes/2240455/filly-funtasia-2x01-the-freshmen	1	0.7%
https://www.tvmaze.com/episodes/2197291/struggle-meals-1x15-show-me-the-mole	1	0.7%
https://www.tvmaze.com/episodes/2094667/paradka-1x01-smagcausie-obstoatelstva	1	0.7%
https://www.tvmaze.com/episodes/2074188/my-lecturer-my-husband-1x03-episode-3	1	0.7%
https://www.tvmaze.com/episodes/2072228/top-dog-fighting-championship-6x01-mihail-sivyj-vs-andrej-panda	1	0.7%
https://www.tvmaze.com/episodes/2051985/pro-balet-s-nikolaem-ciskaridze-1x31-nikolaj-ciskaridze-pro-balet-vypusk30-golubaa-ptica-russkaa-versia-pro-ballet-part30-sleepingb	1	0.7%
Other values (125)	125	92.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	1	0.7%
https://www.tvmaze.com/episodes/1976540/var-tid-ar-nu-4x01-forsommar	1	0.7%
https://www.tvmaze.com/episodes/1984017/roast-battle-labelcom-1x15-15-dana-milohin	1	0.7%
https://www.tvmaze.com/episodes/1991483/psih-s01-special-film-o-filme	1	0.7%
https://www.tvmaze.com/episodes/1988016/muzskaa-tema-1x05-seria-5	1	0.7%
https://www.tvmaze.com/episodes/2062929/god-of-ten-thousand-realms-1x04-episode-4	1	0.7%
https://www.tvmaze.com/episodes/2353918/300-year-old-class-of-2020-1x05-episode-5	1	0.7%
https://www.tvmaze.com/episodes/2030154/fox-spirit-matchmaker-9x04-episode-125	1	0.7%
https://www.tvmaze.com/episodes/2324416/unique-lady-2x07-episode-7	1	0.7%
https://www.tvmaze.com/episodes/2324417/unique-lady-2x08-episode-8	1	0.7%
Other values (125)	125	92.6%

Most occurring characters

Value	Count	Frequency (%)
e	839	8.0%
-	752	7.2%
/	675	6.5%
t	659	6.3%
s	649	6.2%
o	545	5.2%
a	455	4.4%
w	440	4.2%
i	419	4.0%
m	391	3.8%
Other values (30)	4600	44.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7132	68.4%
Decimal Number	1460	14.0%
Other Punctuation	1080	10.4%
Dash Punctuation	752	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	839	11.8%
t	659	9.2%
s	649	9.1%
o	545	7.6%
a	455	6.4%
w	440	6.2%
i	419	5.9%
m	391	5.5%
p	377	5.3%
d	280	3.9%
Other values (16)	2078	29.1%

Decimal Number

Value	Count	Frequency (%)
1	278	19.0%
2	223	15.3%
0	212	14.5%
9	156	10.7%
4	125	8.6%
5	98	6.7%
8	95	6.5%
3	93	6.4%
6	91	6.2%
7	89	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	675	62.5%
.	270	25.0%
:	135	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	752	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7132	68.4%
Common	3292	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	839	11.8%
t	659	9.2%
s	649	9.1%
o	545	7.6%
a	455	6.4%
w	440	6.2%
i	419	5.9%
m	391	5.5%
p	377	5.3%
d	280	3.9%
Other values (16)	2078	29.1%

Common

Value	Count	Frequency (%)
-	752	22.8%
/	675	20.5%
1	278	8.4%
.	270	8.2%
2	223	6.8%
0	212	6.4%
9	156	4.7%
:	135	4.1%
4	125	3.8%
5	98	3.0%
Other values (4)	368	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10424	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	839	8.0%
-	752	7.2%
/	675	6.5%
t	659	6.3%
s	649	6.2%
o	545	5.2%
a	455	4.4%
w	440	4.2%
i	419	4.0%
m	391	3.8%
Other values (30)	4600	44.1%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	121
Distinct (%)	89.6%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Episode 7	4
Episode 6	4
Episode 4	3
Episode 8	3
Episode 1	2
Other values (116)	119

Length

Max length	96
Median length	33
Mean length	15.68148148
Min length	3

Characters and Unicode

Total characters	2117
Distinct characters	125
Distinct categories	9 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	113 ?
Unique (%)	83.7%

Sample

1st row	Выпуск 306
2nd row	Санки
3rd row	#15 - Даня Милохин
4th row	Фильм о фильме
5th row	Серия 5

Common Values

Value	Count	Frequency (%)
Episode 7	4	3.0%
Episode 6	4	3.0%
Episode 4	3	2.2%
Episode 8	3	2.2%
Episode 1	2	1.5%
Episode 21	2	1.5%
Episode 3	2	1.5%
Episode 22	2	1.5%
The Spring Ball	1	0.7%
Funtasia Festival	1	0.7%
Other values (111)	111	82.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	38	10.2%
the	16	4.3%
of	10	2.7%
i	5	1.3%
and	5	1.3%
a	5	1.3%
6	5	1.3%
3	4	1.1%
7	4	1.1%
2	4	1.1%
Other values (246)	276	74.2%

Most occurring characters

Value	Count	Frequency (%)
	237	11.2%
e	186	8.8%
o	123	5.8%
i	110	5.2%
s	110	5.2%
a	96	4.5%
r	88	4.2%
t	70	3.3%
d	64	3.0%
n	61	2.9%
Other values (115)	972	45.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1429	67.5%
Uppercase Letter	315	14.9%
Space Separator	237	11.2%
Decimal Number	91	4.3%
Other Punctuation	25	1.2%
Dash Punctuation	16	0.8%
Other Letter	2	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	186	13.0%
o	123	8.6%
i	110	7.7%
s	110	7.7%
a	96	6.7%
r	88	6.2%
t	70	4.9%
d	64	4.5%
n	61	4.3%
p	59	4.1%
Other values (48)	462	32.3%

Uppercase Letter

Value	Count	Frequency (%)
E	44	14.0%
A	25	7.9%
T	24	7.6%
B	19	6.0%
M	19	6.0%
S	18	5.7%
D	14	4.4%
H	13	4.1%
C	12	3.8%
F	11	3.5%
Other values (32)	116	36.8%

Decimal Number

Value	Count	Frequency (%)
2	18	19.8%
1	16	17.6%
3	13	14.3%
5	8	8.8%
7	7	7.7%
6	7	7.7%
4	7	7.7%
0	7	7.7%
8	6	6.6%
9	2	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	4	16.0%
'	4	16.0%
#	4	16.0%
,	4	16.0%
?	3	12.0%
&	2	8.0%
:	2	8.0%
/	1	4.0%
!	1	4.0%

Other Letter

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Space Separator

Value	Count	Frequency (%)
	237	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	16	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1573	74.3%
Common	371	17.5%
Cyrillic	171	8.1%
Han	2	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	186	11.8%
o	123	7.8%
i	110	7.0%
s	110	7.0%
a	96	6.1%
r	88	5.6%
t	70	4.5%
d	64	4.1%
n	61	3.9%
p	59	3.8%
Other values (42)	606	38.5%

Cyrillic

Value	Count	Frequency (%)
а	16	9.4%
и	16	9.4%
с	10	5.8%
е	8	4.7%
л	7	4.1%
р	7	4.1%
к	7	4.1%
т	6	3.5%
о	6	3.5%
н	6	3.5%
Other values (38)	82	48.0%

Common

Value	Count	Frequency (%)
	237	63.9%
2	18	4.9%
-	16	4.3%
1	16	4.3%
3	13	3.5%
5	8	2.2%
7	7	1.9%
6	7	1.9%
4	7	1.9%
0	7	1.9%
Other values (13)	35	9.4%

Han

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1935	91.4%
Cyrillic	171	8.1%
None	9	0.4%
CJK	2	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	237	12.2%
e	186	9.6%
o	123	6.4%
i	110	5.7%
s	110	5.7%
a	96	5.0%
r	88	4.5%
t	70	3.6%
d	64	3.3%
n	61	3.2%
Other values (60)	790	40.8%

Cyrillic

Value	Count	Frequency (%)
а	16	9.4%
и	16	9.4%
с	10	5.8%
е	8	4.7%
л	7	4.1%
р	7	4.1%
к	7	4.1%
т	6	3.5%
о	6	3.5%
н	6	3.5%
Other values (38)	82	48.0%

None

Value	Count	Frequency (%)
ø	3	33.3%
å	2	22.2%
ö	2	22.2%
ó	1	11.1%
ç	1	11.1%

CJK

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.28888889

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	9
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	244.6726679
Coefficient of variation (CV)	7.577611876
Kurtosis	64.92165258
Mean	32.28888889
Median Absolute Deviation (MAD)	0
Skewness	8.121012408
Sum	4359
Variance	59864.71443
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	77	57.0%
2	28	20.7%
4	10	7.4%
9	8	5.9%
6	3	2.2%
3	3	2.2%
2020	2	1.5%
5	1	0.7%
17	1	0.7%
18	1	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	77	57.0%
2	28	20.7%
3	3	2.2%
4	10	7.4%
5	1	0.7%
6	3	2.2%
7	1	0.7%
9	8	5.9%
17	1	0.7%
18	1	0.7%

Value	Count	Frequency (%)
2020	2	1.5%
18	1	0.7%
17	1	0.7%
9	8	5.9%
7	1	0.7%
6	3	2.2%
5	1	0.7%
4	10	7.4%
3	3	2.2%
2	28	20.7%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	32
Distinct (%)	24.8%
Missing	6
Missing (%)	4.4%
Infinite	0
Infinite (%)	0.0%
Mean	12.97674419

Minimum	1
Maximum	352
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	6
Q3	12
95-th percentile	33.6
Maximum	352
Range	351
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	32.78420569
Coefficient of variation (CV)	2.526381442
Kurtosis	90.91309964
Mean	12.97674419
Median Absolute Deviation (MAD)	3
Skewness	8.942148364
Sum	1674
Variance	1074.804142
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
4	14	10.4%
5	12	8.9%
1	12	8.9%
6	12	8.9%
2	11	8.1%
7	11	8.1%
3	9	6.7%
8	7	5.2%
9	3	2.2%
15	3	2.2%
Other values (22)	35	25.9%
(Missing)	6	4.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	12	8.9%
2	11	8.1%
3	9	6.7%
4	14	10.4%
5	12	8.9%
6	12	8.9%
7	11	8.1%
8	7	5.2%
9	3	2.2%
10	3	2.2%

Value	Count	Frequency (%)
352	1	0.7%
87	1	0.7%
74	1	0.7%
52	2	1.5%
35	1	0.7%
34	1	0.7%
33	2	1.5%
31	2	1.5%
25	1	0.7%
24	1	0.7%

type
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

regular	129
insignificant_special	4
significant_special	2

Length

Max length	21
Median length	7
Mean length	7.592592593
Min length	7

Characters and Unicode

Total characters	1025
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	insignificant_special
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	129	95.6%
insignificant_special	4	3.0%
significant_special	2	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	129	95.6%
insignificant_special	4	3.0%
significant_special	2	1.5%

Most occurring characters

Value	Count	Frequency (%)
r	258	25.2%
a	141	13.8%
e	135	13.2%
g	135	13.2%
l	135	13.2%
u	129	12.6%
i	28	2.7%
n	16	1.6%
s	12	1.2%
c	12	1.2%
Other values (4)	24	2.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1019	99.4%
Connector Punctuation	6	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	258	25.3%
a	141	13.8%
e	135	13.2%
g	135	13.2%
l	135	13.2%
u	129	12.7%
i	28	2.7%
n	16	1.6%
s	12	1.2%
c	12	1.2%
Other values (3)	18	1.8%

Connector Punctuation

Value	Count	Frequency (%)
_	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1019	99.4%
Common	6	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	258	25.3%
a	141	13.8%
e	135	13.2%
g	135	13.2%
l	135	13.2%
u	129	12.7%
i	28	2.7%
n	16	1.6%
s	12	1.2%
c	12	1.2%
Other values (3)	18	1.8%

Common

Value	Count	Frequency (%)
_	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	258	25.2%
a	141	13.8%
e	135	13.2%
g	135	13.2%
l	135	13.2%
u	129	12.6%
i	28	2.7%
n	16	1.6%
s	12	1.2%
c	12	1.2%
Other values (4)	24	2.3%

airdate
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

2020-12-25	135

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1350
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-25
2nd row	2020-12-25
3rd row	2020-12-25
4th row	2020-12-25
5th row	2020-12-25

Common Values

Value	Count	Frequency (%)
2020-12-25	135	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-25	135	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	540	40.0%
0	270	20.0%
-	270	20.0%
1	135	10.0%
5	135	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1080	80.0%
Dash Punctuation	270	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	540	50.0%
0	270	25.0%
1	135	12.5%
5	135	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	270	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1350	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	540	40.0%
0	270	20.0%
-	270	20.0%
1	135	10.0%
5	135	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1350	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	540	40.0%
0	270	20.0%
-	270	20.0%
1	135	10.0%
5	135	10.0%

airtime
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

	102
20:00	11
12:00	7
06:00	7
22:00	2
Other values (6)	6

Length

Max length	5
Median length	0
Mean length	1.222222222
Min length	0

Characters and Unicode

Total characters	165
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	4.4%

Sample

1st row
2nd row
3rd row
4th row	12:00
5th row	12:00

Common Values

Value	Count	Frequency (%)
	102	75.6%
20:00	11	8.1%
12:00	7	5.2%
06:00	7	5.2%
22:00	2	1.5%
10:00	1	0.7%
17:00	1	0.7%
21:00	1	0.7%
19:00	1	0.7%
20:45	1	0.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	11	33.3%
12:00	7	21.2%
06:00	7	21.2%
22:00	2	6.1%
10:00	1	3.0%
17:00	1	3.0%
21:00	1	3.0%
19:00	1	3.0%
20:45	1	3.0%
00:00	1	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	86	52.1%
:	33	20.0%
2	24	14.5%
1	11	6.7%
6	7	4.2%
7	1	0.6%
9	1	0.6%
4	1	0.6%
5	1	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	132	80.0%
Other Punctuation	33	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	86	65.2%
2	24	18.2%
1	11	8.3%
6	7	5.3%
7	1	0.8%
9	1	0.8%
4	1	0.8%
5	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
:	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	165	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	86	52.1%
:	33	20.0%
2	24	14.5%
1	11	6.7%
6	7	4.2%
7	1	0.6%
9	1	0.6%
4	1	0.6%
5	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	165	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	86	52.1%
:	33	20.0%
2	24	14.5%
1	11	6.7%
6	7	4.2%
7	1	0.6%
9	1	0.6%
4	1	0.6%
5	1	0.6%

airstamp
Categorical

HIGH CORRELATION

Distinct	18
Distinct (%)	13.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

2020-12-25T12:00:00+00:00	76
2020-12-25T04:00:00+00:00	14
2020-12-25T11:00:00+00:00	13
2020-12-25T05:00:00+00:00	7
2020-12-25T16:00:00+00:00	7
Other values (13)	18

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	3375
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	8.1%

Sample

1st row	2020-12-25T00:00:00+00:00
2nd row	2020-12-25T00:00:00+00:00
3rd row	2020-12-25T00:00:00+00:00
4th row	2020-12-25T00:00:00+00:00
5th row	2020-12-25T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-25T12:00:00+00:00	76	56.3%
2020-12-25T04:00:00+00:00	14	10.4%
2020-12-25T11:00:00+00:00	13	9.6%
2020-12-25T05:00:00+00:00	7	5.2%
2020-12-25T16:00:00+00:00	7	5.2%
2020-12-25T00:00:00+00:00	5	3.7%
2020-12-25T17:00:00+00:00	2	1.5%
2020-12-25T15:00:00+00:00	1	0.7%
2020-12-25T13:00:00+00:00	1	0.7%
2020-12-25T12:45:00+00:00	1	0.7%
Other values (8)	8	5.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-25t12:00:00+00:00	76	56.3%
2020-12-25t04:00:00+00:00	14	10.4%
2020-12-25t11:00:00+00:00	13	9.6%
2020-12-25t05:00:00+00:00	7	5.2%
2020-12-25t16:00:00+00:00	7	5.2%
2020-12-25t00:00:00+00:00	5	3.7%
2020-12-25t17:00:00+00:00	2	1.5%
2020-12-25t09:00:00+00:00	1	0.7%
2020-12-25t03:00:00+00:00	1	0.7%
2020-12-25t06:30:00+00:00	1	0.7%
Other values (8)	8	5.9%

Most occurring characters

Value	Count	Frequency (%)
0	1386	41.1%
2	618	18.3%
:	405	12.0%
-	270	8.0%
1	250	7.4%
5	143	4.2%
T	135	4.0%
+	135	4.0%
4	15	0.4%
6	9	0.3%
Other values (4)	9	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2430	72.0%
Other Punctuation	405	12.0%
Dash Punctuation	270	8.0%
Uppercase Letter	135	4.0%
Math Symbol	135	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1386	57.0%
2	618	25.4%
1	250	10.3%
5	143	5.9%
4	15	0.6%
6	9	0.4%
3	4	0.2%
7	3	0.1%
9	1	< 0.1%
8	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
:	405	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	270	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	135	100.0%

Math Symbol

Value	Count	Frequency (%)
+	135	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3240	96.0%
Latin	135	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1386	42.8%
2	618	19.1%
:	405	12.5%
-	270	8.3%
1	250	7.7%
5	143	4.4%
+	135	4.2%
4	15	0.5%
6	9	0.3%
3	4	0.1%
Other values (3)	5	0.2%

Latin

Value	Count	Frequency (%)
T	135	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3375	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1386	41.1%
2	618	18.3%
:	405	12.0%
-	270	8.0%
1	250	7.4%
5	143	4.2%
T	135	4.0%
+	135	4.0%
4	15	0.4%
6	9	0.3%
Other values (4)	9	0.3%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	37.1%
Missing	19
Missing (%)	14.1%
Infinite	0
Infinite (%)	0.0%
Mean	29.89655172

Minimum	1
Maximum	73
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1
5-th percentile	5.75
Q1	16.75
median	28.5
Q3	45
95-th percentile	60.25
Maximum	73
Range	72
Interquartile range (IQR)	28.25

Descriptive statistics

Standard deviation	17.87267981
Coefficient of variation (CV)	0.5978174332
Kurtosis	-1.04874337
Mean	29.89655172
Median Absolute Deviation (MAD)	16.5
Skewness	0.220536616
Sum	3468
Variance	319.4326837
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
45	20	14.8%
7	7	5.2%
30	6	4.4%
20	6	4.4%
38	5	3.7%
17	5	3.7%
21	5	3.7%
8	4	3.0%
19	4	3.0%
61	3	2.2%
Other values (33)	51	37.8%
(Missing)	19	14.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.7%
4	3	2.2%
5	2	1.5%
6	3	2.2%
7	7	5.2%
8	4	3.0%
9	2	1.5%
10	3	2.2%
11	1	0.7%
14	2	1.5%

Value	Count	Frequency (%)
73	1	0.7%
64	1	0.7%
62	1	0.7%
61	3	2.2%
60	2	1.5%
58	1	0.7%
57	2	1.5%
55	1	0.7%
53	1	0.7%
50	3	2.2%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	45
Distinct (%)	100.0%
Missing	90
Missing (%)	66.7%
Memory size	1.2 KiB

<p>As friends and families fly their kites, Bheem spots an especially beautiful one. Who does it belong to?</p>	1
<p>When Justin tasks Fin with creating an original song to be performed in the film, Fin surprises himself and everyone else when he discovers that his new song is directly connected to one Zach had been writing but was unable to finish before he passed away. Nothing short of a miracle, the story deeply touches Justin and, especially Zach's girlfriend, Amy.</p><p> </p><p> </p>	1
<p>Two elderly ladies from St.Petersburg, Russia, who tried to bring a park bench into a trolleybus, immediately hit the headlines and were made into a popular meme after a short video from the shoot had been posted on the Internet. The video turned out to be so absurd and topical that it became a TikTok hit instantaneously and got 100 million views on different social media. After that, it received extensive coverage on the state TV channels, and the main characters of the story became household names all over Russia. The enormous country kept wondering who the women were, why they needed that bench, what was going on, and if that was fake news or not. <br /> </p>	1
<p>Super 7 can be traced back to the magazine born out of owner Brian Flynn's love of collecting Kaiju toys. Since then, it's grown into not only a retailer of collectibles & apparel, but also as a producer of esoteric & imaginative products.</p>	1
<p>Located in the former Fireplace Shanty of Mays Landing New Jersey is a "Museum of Memories" as Justin and Penelope Daniels like to call it. We know it as Farpoint Toys, one of the most beloved toy stores in America.</p>	1
Other values (40)	40

Length

Max length	673
Median length	162
Mean length	170.6888889
Min length	41

Characters and Unicode

Total characters	7681
Distinct characters	77
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	100.0%

Sample

1st row	<p>Randi stubbornly claims that she did not throw Jeanette's Christmas decorations. Bitten doubts the Christmas mood, while August gets barracks fever.</p>
2nd row	<p>Summer 1951. The Löwander family is preparing to open a summer restaurant on Gällnö in the Stockholm archipelago. Here Nina meets Calle again, for the first time since she tried to take her life.</p>
3rd row	<p>Peter and the other staff prepare the midsummer celebration at the summer restaurant. Chef Backe has high hopes for the evening. Nina and Calle are colleagues, but beneath the surface deeper feelings burn.</p>
4th row	<p>Nina moves down to Erik and Christina in Skåne, but it will not be the harmonious reunion she hoped for. Helga suspects that something happened between Nina and Calle on Midsummer's Eve.</p>
5th row	<p>Calles and Sonja's marriage is cracking at the seams. In Skåne, Nina sinks deeper into depression. Helga and Backe try to save her. At the restaurant, the closing for the season is approaching.</p>

Common Values

Value	Count	Frequency (%)
<p>As friends and families fly their kites, Bheem spots an especially beautiful one. Who does it belong to?</p>	1	0.7%
<p>When Justin tasks Fin with creating an original song to be performed in the film, Fin surprises himself and everyone else when he discovers that his new song is directly connected to one Zach had been writing but was unable to finish before he passed away. Nothing short of a miracle, the story deeply touches Justin and, especially Zach's girlfriend, Amy.</p><p> </p><p> </p>	1	0.7%
<p>Two elderly ladies from St.Petersburg, Russia, who tried to bring a park bench into a trolleybus, immediately hit the headlines and were made into a popular meme after a short video from the shoot had been posted on the Internet. The video turned out to be so absurd and topical that it became a TikTok hit instantaneously and got 100 million views on different social media. After that, it received extensive coverage on the state TV channels, and the main characters of the story became household names all over Russia. The enormous country kept wondering who the women were, why they needed that bench, what was going on, and if that was fake news or not. <br /> </p>	1	0.7%
<p>Super 7 can be traced back to the magazine born out of owner Brian Flynn's love of collecting Kaiju toys. Since then, it's grown into not only a retailer of collectibles & apparel, but also as a producer of esoteric & imaginative products.</p>	1	0.7%
<p>Located in the former Fireplace Shanty of Mays Landing New Jersey is a "Museum of Memories" as Justin and Penelope Daniels like to call it. We know it as Farpoint Toys, one of the most beloved toy stores in America.</p>	1	0.7%
<p>Batcave Comics & Toys owners Mike Holbrook & Amanda Barlow share more than just their namesake with the caped crusader, they're both do-gooders in their own right; such as donating comics to local youth charities while under quarantine.</p>	1	0.7%
<p>Down in Kokomo...Indiana, Todd & Amber Jordan have built one of the most impressive toy stores you'll ever see. With row upon row of exclusives & rarities, Kokomo Toys & Collectibles is the cornerstone of what's become known as "Geek St."</p>	1	0.7%
<p>Nick Mayor & Jen Lamasters exude the same kind of cool as the Chicago neighborhood their store Bric-A-Brac Records & Toys calls home, Logan Square.</p>	1	0.7%
<p>When the village's biggest bulls display their strength, can Bheem help his friend, a calf, impress the crowd, too?</p>	1	0.7%
<p>The villagers are cooking for the festivities, and Bheem wants to show off his culinary skills, too — but he might need some divine intervention!</p>	1	0.7%
Other values (35)	35	25.9%
(Missing)	90	66.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	62	4.9%
to	37	2.9%
a	35	2.8%
and	34	2.7%
of	27	2.2%
in	17	1.4%
for	16	1.3%
p	14	1.1%
is	13	1.0%
his	12	1.0%
Other values (697)	988	78.7%

Most occurring characters

Value	Count	Frequency (%)
	1194	15.5%
e	722	9.4%
a	481	6.3%
t	470	6.1%
o	430	5.6%
i	414	5.4%
s	411	5.4%
n	400	5.2%
r	369	4.8%
h	284	3.7%
Other values (67)	2506	32.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5706	74.3%
Space Separator	1210	15.8%
Other Punctuation	263	3.4%
Uppercase Letter	242	3.2%
Math Symbol	232	3.0%
Decimal Number	17	0.2%
Dash Punctuation	10	0.1%
Initial Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	722	12.7%
a	481	8.4%
t	470	8.2%
o	430	7.5%
i	414	7.3%
s	411	7.2%
n	400	7.0%
r	369	6.5%
h	284	5.0%
p	216	3.8%
Other values (19)	1509	26.4%

Uppercase Letter

Value	Count	Frequency (%)
S	25	10.3%
B	20	8.3%
T	19	7.9%
A	18	7.4%
C	16	6.6%
M	15	6.2%
D	15	6.2%
J	14	5.8%
N	11	4.5%
I	11	4.5%
Other values (13)	78	32.2%

Other Punctuation

Value	Count	Frequency (%)
.	76	28.9%
/	63	24.0%
,	55	20.9%
'	26	9.9%
;	11	4.2%
&	9	3.4%
"	9	3.4%
?	8	3.0%
!	4	1.5%
…	1	0.4%

Decimal Number

Value	Count	Frequency (%)
1	5	29.4%
0	4	23.5%
2	3	17.6%
9	2	11.8%
7	1	5.9%
4	1	5.9%
5	1	5.9%

Space Separator

Value	Count	Frequency (%)
	1194	98.7%
	16	1.3%

Math Symbol

Value	Count	Frequency (%)
>	116	50.0%
<	116	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	80.0%
—	2	20.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5948	77.4%
Common	1733	22.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	722	12.1%
a	481	8.1%
t	470	7.9%
o	430	7.2%
i	414	7.0%
s	411	6.9%
n	400	6.7%
r	369	6.2%
h	284	4.8%
p	216	3.6%
Other values (42)	1751	29.4%

Common

Value	Count	Frequency (%)
	1194	68.9%
>	116	6.7%
<	116	6.7%
.	76	4.4%
/	63	3.6%
,	55	3.2%
'	26	1.5%
	16	0.9%
;	11	0.6%
&	9	0.5%
Other values (15)	51	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7656	99.7%
None	21	0.3%
Punctuation	4	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1194	15.6%
e	722	9.4%
a	481	6.3%
t	470	6.1%
o	430	5.6%
i	414	5.4%
s	411	5.4%
n	400	5.2%
r	369	4.8%
h	284	3.7%
Other values (60)	2481	32.4%

None

Value	Count	Frequency (%)
	16	76.2%
å	2	9.5%
ö	2	9.5%
ä	1	4.8%

Punctuation

Value	Count	Frequency (%)
—	2	50.0%
…	1	25.0%
‘	1	25.0%

rating.average
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	43.5%
Missing	112
Missing (%)	83.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.086956522

Minimum	7
Maximum	9.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	7
5-th percentile	7.2
Q1	7.75
median	7.9
Q3	8.3
95-th percentile	9.45
Maximum	9.5
Range	2.5
Interquartile range (IQR)	0.55

Descriptive statistics

Standard deviation	0.6890733882
Coefficient of variation (CV)	0.08520799962
Kurtosis	-0.01711524272
Mean	8.086956522
Median Absolute Deviation (MAD)	0.2
Skewness	0.7227128094
Sum	186
Variance	0.4748221344
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7.9	4	3.0%
8	4	3.0%
9	3	2.2%
7.8	2	1.5%
7.7	2	1.5%
9.5	2	1.5%
7.2	2	1.5%
8.3	2	1.5%
7.4	1	0.7%
7	1	0.7%
(Missing)	112	83.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	1	0.7%
7.2	2	1.5%
7.4	1	0.7%
7.7	2	1.5%
7.8	2	1.5%
7.9	4	3.0%
8	4	3.0%
8.3	2	1.5%
9	3	2.2%
9.5	2	1.5%

Value	Count	Frequency (%)
9.5	2	1.5%
9	3	2.2%
8.3	2	1.5%
8	4	3.0%
7.9	4	3.0%
7.8	2	1.5%
7.7	2	1.5%
7.4	1	0.7%
7.2	2	1.5%
7	1	0.7%

_links.self.href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	135
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

https://api.tvmaze.com/episodes/1968115	1
https://api.tvmaze.com/episodes/1986168	1
https://api.tvmaze.com/episodes/2240457	1
https://api.tvmaze.com/episodes/2240456	1
https://api.tvmaze.com/episodes/2240455	1
Other values (130)	130

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	5265
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	135 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1968115
2nd row	https://api.tvmaze.com/episodes/2121269
3rd row	https://api.tvmaze.com/episodes/1984017
4th row	https://api.tvmaze.com/episodes/1991483
5th row	https://api.tvmaze.com/episodes/1988016

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1968115	1	0.7%
https://api.tvmaze.com/episodes/1986168	1	0.7%
https://api.tvmaze.com/episodes/2240457	1	0.7%
https://api.tvmaze.com/episodes/2240456	1	0.7%
https://api.tvmaze.com/episodes/2240455	1	0.7%
https://api.tvmaze.com/episodes/2197291	1	0.7%
https://api.tvmaze.com/episodes/2094667	1	0.7%
https://api.tvmaze.com/episodes/2074188	1	0.7%
https://api.tvmaze.com/episodes/2072228	1	0.7%
https://api.tvmaze.com/episodes/2051985	1	0.7%
Other values (125)	125	92.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1968115	1	0.7%
https://api.tvmaze.com/episodes/1976540	1	0.7%
https://api.tvmaze.com/episodes/1984017	1	0.7%
https://api.tvmaze.com/episodes/1991483	1	0.7%
https://api.tvmaze.com/episodes/1988016	1	0.7%
https://api.tvmaze.com/episodes/2062929	1	0.7%
https://api.tvmaze.com/episodes/2353918	1	0.7%
https://api.tvmaze.com/episodes/2030154	1	0.7%
https://api.tvmaze.com/episodes/2324416	1	0.7%
https://api.tvmaze.com/episodes/2324417	1	0.7%
Other values (125)	125	92.6%

Most occurring characters

Value	Count	Frequency (%)
/	540	10.3%
p	405	7.7%
s	405	7.7%
e	405	7.7%
t	405	7.7%
a	270	5.1%
i	270	5.1%
.	270	5.1%
m	270	5.1%
o	270	5.1%
Other values (16)	1755	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3375	64.1%
Other Punctuation	945	17.9%
Decimal Number	945	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	405	12.0%
s	405	12.0%
e	405	12.0%
t	405	12.0%
a	270	8.0%
i	270	8.0%
m	270	8.0%
o	270	8.0%
h	135	4.0%
d	135	4.0%
Other values (3)	405	12.0%

Decimal Number

Value	Count	Frequency (%)
1	145	15.3%
9	142	15.0%
2	137	14.5%
0	95	10.1%
4	91	9.6%
8	78	8.3%
5	68	7.2%
6	67	7.1%
7	66	7.0%
3	56	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	540	57.1%
.	270	28.6%
:	135	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3375	64.1%
Common	1890	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	540	28.6%
.	270	14.3%
1	145	7.7%
9	142	7.5%
2	137	7.2%
:	135	7.1%
0	95	5.0%
4	91	4.8%
8	78	4.1%
5	68	3.6%
Other values (3)	189	10.0%

Latin

Value	Count	Frequency (%)
p	405	12.0%
s	405	12.0%
e	405	12.0%
t	405	12.0%
a	270	8.0%
i	270	8.0%
m	270	8.0%
o	270	8.0%
h	135	4.0%
d	135	4.0%
Other values (3)	405	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	540	10.3%
p	405	7.7%
s	405	7.7%
e	405	7.7%
t	405	7.7%
a	270	5.1%
i	270	5.1%
.	270	5.1%
m	270	5.1%
o	270	5.1%
Other values (16)	1755	33.3%

_embedded.show.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	59.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48827.02222

Minimum	7847
Maximum	62764
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	7847
5-th percentile	14055
Q1	45291
median	52413
Q3	55209.5
95-th percentile	61237
Maximum	62764
Range	54917
Interquartile range (IQR)	9918.5

Descriptive statistics

Standard deviation	12204.32825
Coefficient of variation (CV)	0.2499502877
Kurtosis	2.558906822
Mean	48827.02222
Median Absolute Deviation (MAD)	4616
Skewness	-1.705106976
Sum	6591648
Variance	148945628.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59579	13	9.6%
42966	8	5.9%
14055	7	5.2%
52372	6	4.4%
60949	5	3.7%
32611	4	3.0%
52451	4	3.0%
57029	3	2.2%
51971	3	2.2%
61909	3	2.2%
Other values (70)	79	58.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7847	1	0.7%
14055	7	5.2%
19111	1	0.7%
20734	1	0.7%
22536	1	0.7%
30606	1	0.7%
32611	4	3.0%
35420	1	0.7%
38171	1	0.7%
38199	1	0.7%

Value	Count	Frequency (%)
62764	1	0.7%
62545	1	0.7%
62418	1	0.7%
62306	1	0.7%
61909	3	2.2%
60949	5	3.7%
60809	1	0.7%
59676	1	0.7%
59579	13	9.6%
58367	1	0.7%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	80
Distinct (%)	59.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

https://www.tvmaze.com/shows/59579/filly-funtasia	13
https://www.tvmaze.com/shows/42966/bridgerton	8
https://www.tvmaze.com/shows/14055/letterkenny	7
https://www.tvmaze.com/shows/52372/ida-og-martin-pa-notholmen	6
https://www.tvmaze.com/shows/60949/a-toy-store-near-you	5
Other values (75)	96

Length

Max length	68
Median length	62
Mean length	50.37777778
Min length	39

Characters and Unicode

Total characters	6801
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	45.2%

Sample

1st row	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar
2nd row	https://www.tvmaze.com/shows/38199/fiksiki
3rd row	https://www.tvmaze.com/shows/48288/roast-battle-labelcom
4th row	https://www.tvmaze.com/shows/49280/psih
5th row	https://www.tvmaze.com/shows/52520/muzskaa-tema

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/59579/filly-funtasia	13	9.6%
https://www.tvmaze.com/shows/42966/bridgerton	8	5.9%
https://www.tvmaze.com/shows/14055/letterkenny	7	5.2%
https://www.tvmaze.com/shows/52372/ida-og-martin-pa-notholmen	6	4.4%
https://www.tvmaze.com/shows/60949/a-toy-store-near-you	5	3.7%
https://www.tvmaze.com/shows/32611/var-tid-ar-nu	4	3.0%
https://www.tvmaze.com/shows/52451/the-burning-river	4	3.0%
https://www.tvmaze.com/shows/57029/bablo	3	2.2%
https://www.tvmaze.com/shows/51971/wish-you	3	2.2%
https://www.tvmaze.com/shows/61909/mighty-little-bheem-kite-festival	3	2.2%
Other values (70)	79	58.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/59579/filly-funtasia	13	9.6%
https://www.tvmaze.com/shows/42966/bridgerton	8	5.9%
https://www.tvmaze.com/shows/14055/letterkenny	7	5.2%
https://www.tvmaze.com/shows/52372/ida-og-martin-pa-notholmen	6	4.4%
https://www.tvmaze.com/shows/60949/a-toy-store-near-you	5	3.7%
https://www.tvmaze.com/shows/32611/var-tid-ar-nu	4	3.0%
https://www.tvmaze.com/shows/52451/the-burning-river	4	3.0%
https://www.tvmaze.com/shows/57029/bablo	3	2.2%
https://www.tvmaze.com/shows/51971/wish-you	3	2.2%
https://www.tvmaze.com/shows/61909/mighty-little-bheem-kite-festival	3	2.2%
Other values (70)	79	58.5%

Most occurring characters

Value	Count	Frequency (%)
/	675	9.9%
t	557	8.2%
w	554	8.1%
s	493	7.2%
o	400	5.9%
m	333	4.9%
h	324	4.8%
e	324	4.8%
a	298	4.4%
.	270	4.0%
Other values (30)	2573	37.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4808	70.7%
Other Punctuation	1080	15.9%
Decimal Number	687	10.1%
Dash Punctuation	226	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	557	11.6%
w	554	11.5%
s	493	10.3%
o	400	8.3%
m	333	6.9%
h	324	6.7%
e	324	6.7%
a	298	6.2%
p	165	3.4%
c	163	3.4%
Other values (16)	1197	24.9%

Decimal Number

Value	Count	Frequency (%)
5	138	20.1%
2	91	13.2%
9	79	11.5%
4	76	11.1%
1	68	9.9%
6	66	9.6%
7	53	7.7%
0	53	7.7%
3	34	4.9%
8	29	4.2%

Other Punctuation

Value	Count	Frequency (%)
/	675	62.5%
.	270	25.0%
:	135	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	226	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4808	70.7%
Common	1993	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	557	11.6%
w	554	11.5%
s	493	10.3%
o	400	8.3%
m	333	6.9%
h	324	6.7%
e	324	6.7%
a	298	6.2%
p	165	3.4%
c	163	3.4%
Other values (16)	1197	24.9%

Common

Value	Count	Frequency (%)
/	675	33.9%
.	270	13.5%
-	226	11.3%
5	138	6.9%
:	135	6.8%
2	91	4.6%
9	79	4.0%
4	76	3.8%
1	68	3.4%
6	66	3.3%
Other values (4)	169	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6801	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	675	9.9%
t	557	8.2%
w	554	8.1%
s	493	7.2%
o	400	5.9%
m	333	4.9%
h	324	4.8%
e	324	4.8%
a	298	4.4%
.	270	4.0%
Other values (30)	2573	37.8%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	80
Distinct (%)	59.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Filly Funtasia	13
Bridgerton	8
Letterkenny	7
Ida og Martin på Notholmen	6
A Toy Store Near You	5
Other values (75)	96

Length

Max length	34
Median length	26
Mean length	15.46666667
Min length	4

Characters and Unicode

Total characters	2088
Distinct characters	94
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	45.2%

Sample

1st row	По сезону. Видеодайджест Seasonvar
2nd row	Фиксики
3rd row	Roast Battle Labelcom
4th row	Псих
5th row	Мужская тема

Common Values

Value	Count	Frequency (%)
Filly Funtasia	13	9.6%
Bridgerton	8	5.9%
Letterkenny	7	5.2%
Ida og Martin på Notholmen	6	4.4%
A Toy Store Near You	5	3.7%
Vår tid är nu	4	3.0%
The Burning River	4	3.0%
Bablo	3	2.2%
Wish You	3	2.2%
Mighty Little Bheem: Kite Festival	3	2.2%
Other values (70)	79	58.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	15	4.2%
funtasia	13	3.6%
filly	13	3.6%
you	10	2.8%
bridgerton	8	2.2%
a	8	2.2%
letterkenny	7	2.0%
ida	6	1.7%
og	6	1.7%
martin	6	1.7%
Other values (179)	265	74.2%

Most occurring characters

Value	Count	Frequency (%)
	222	10.6%
e	179	8.6%
t	127	6.1%
n	126	6.0%
i	125	6.0%
a	123	5.9%
o	120	5.7%
r	101	4.8%
l	82	3.9%
s	59	2.8%
Other values (84)	824	39.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1512	72.4%
Uppercase Letter	326	15.6%
Space Separator	222	10.6%
Decimal Number	13	0.6%
Other Punctuation	11	0.5%
Dash Punctuation	4	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	179	11.8%
t	127	8.4%
n	126	8.3%
i	125	8.3%
a	123	8.1%
o	120	7.9%
r	101	6.7%
l	82	5.4%
s	59	3.9%
u	57	3.8%
Other values (36)	413	27.3%

Uppercase Letter

Value	Count	Frequency (%)
F	36	11.0%
L	31	9.5%
M	24	7.4%
T	22	6.7%
B	21	6.4%
S	21	6.4%
N	15	4.6%
R	15	4.6%
A	13	4.0%
Y	13	4.0%
Other values (29)	115	35.3%

Decimal Number

Value	Count	Frequency (%)
2	6	46.2%
0	5	38.5%
3	1	7.7%
5	1	7.7%

Other Punctuation

Value	Count	Frequency (%)
:	9	81.8%
,	1	9.1%
.	1	9.1%

Space Separator

Value	Count	Frequency (%)
	222	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1755	84.1%
Common	250	12.0%
Cyrillic	83	4.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	179	10.2%
t	127	7.2%
n	126	7.2%
i	125	7.1%
a	123	7.0%
o	120	6.8%
r	101	5.8%
l	82	4.7%
s	59	3.4%
u	57	3.2%
Other values (44)	656	37.4%

Cyrillic

Value	Count	Frequency (%)
а	10	12.0%
и	8	9.6%
к	7	8.4%
е	7	8.4%
с	7	8.4%
д	6	7.2%
о	4	4.8%
р	3	3.6%
П	3	3.6%
з	2	2.4%
Other values (21)	26	31.3%

Common

Value	Count	Frequency (%)
	222	88.8%
:	9	3.6%
2	6	2.4%
0	5	2.0%
-	4	1.6%
3	1	0.4%
,	1	0.4%
.	1	0.4%
5	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1989	95.3%
Cyrillic	83	4.0%
None	16	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	222	11.2%
e	179	9.0%
t	127	6.4%
n	126	6.3%
i	125	6.3%
a	123	6.2%
o	120	6.0%
r	101	5.1%
l	82	4.1%
s	59	3.0%
Other values (50)	725	36.5%

Cyrillic

Value	Count	Frequency (%)
а	10	12.0%
и	8	9.6%
к	7	8.4%
е	7	8.4%
с	7	8.4%
д	6	7.2%
о	4	4.8%
р	3	3.6%
П	3	3.6%
з	2	2.4%
Other values (21)	26	31.3%

None

Value	Count	Frequency (%)
å	10	62.5%
ä	5	31.2%
é	1	6.2%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Scripted	75
Animation	26
Documentary	21
Talk Show	4
Variety	3
Other values (3)	6

Length

Max length	11
Median length	8
Mean length	8.637037037
Min length	6

Characters and Unicode

Total characters	1166
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Talk Show
2nd row	Animation
3rd row	Game Show
4th row	Scripted
5th row	Talk Show

Common Values

Value	Count	Frequency (%)
Scripted	75	55.6%
Animation	26	19.3%
Documentary	21	15.6%
Talk Show	4	3.0%
Variety	3	2.2%
Game Show	2	1.5%
Reality	2	1.5%
Sports	2	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	75	53.2%
animation	26	18.4%
documentary	21	14.9%
show	6	4.3%
talk	4	2.8%
variety	3	2.1%
game	2	1.4%
reality	2	1.4%
sports	2	1.4%

Most occurring characters

Value	Count	Frequency (%)
i	132	11.3%
t	129	11.1%
e	103	8.8%
r	101	8.7%
c	96	8.2%
S	83	7.1%
p	77	6.6%
d	75	6.4%
n	73	6.3%
a	58	5.0%
Other values (16)	239	20.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1019	87.4%
Uppercase Letter	141	12.1%
Space Separator	6	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	132	13.0%
t	129	12.7%
e	103	10.1%
r	101	9.9%
c	96	9.4%
p	77	7.6%
d	75	7.4%
n	73	7.2%
a	58	5.7%
o	55	5.4%
Other values (8)	120	11.8%

Uppercase Letter

Value	Count	Frequency (%)
S	83	58.9%
A	26	18.4%
D	21	14.9%
T	4	2.8%
V	3	2.1%
G	2	1.4%
R	2	1.4%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1160	99.5%
Common	6	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	132	11.4%
t	129	11.1%
e	103	8.9%
r	101	8.7%
c	96	8.3%
S	83	7.2%
p	77	6.6%
d	75	6.5%
n	73	6.3%
a	58	5.0%
Other values (15)	233	20.1%

Common

Value	Count	Frequency (%)
	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1166	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	132	11.3%
t	129	11.1%
e	103	8.8%
r	101	8.7%
c	96	8.2%
S	83	7.1%
p	77	6.6%
d	75	6.4%
n	73	6.3%
a	58	5.0%
Other values (16)	239	20.5%

_embedded.show.language
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	11.5%
Missing	4
Missing (%)	3.0%
Memory size	1.2 KiB

English	49
Chinese	26
Norwegian	13
Korean	11
Russian	10
Other values (10)	22

Length

Max length	10
Median length	7
Mean length	7.022900763
Min length	4

Characters and Unicode

Total characters	920
Distinct characters	31
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	3.1%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
English	49	36.3%
Chinese	26	19.3%
Norwegian	13	9.6%
Korean	11	8.1%
Russian	10	7.4%
Swedish	4	3.0%
Thai	4	3.0%
Spanish	3	2.2%
Tagalog	3	2.2%
Dutch	2	1.5%
Other values (5)	6	4.4%
(Missing)	4	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	49	37.4%
chinese	26	19.8%
norwegian	13	9.9%
korean	11	8.4%
russian	10	7.6%
swedish	4	3.1%
thai	4	3.1%
spanish	3	2.3%
tagalog	3	2.3%
dutch	2	1.5%
Other values (5)	6	4.6%

Most occurring characters

Value	Count	Frequency (%)
n	117	12.7%
i	112	12.2%
s	105	11.4%
h	88	9.6%
e	86	9.3%
g	70	7.6%
l	53	5.8%
a	51	5.5%
E	49	5.3%
o	30	3.3%
Other values (21)	159	17.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	789	85.8%
Uppercase Letter	131	14.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	117	14.8%
i	112	14.2%
s	105	13.3%
h	88	11.2%
e	86	10.9%
g	70	8.9%
l	53	6.7%
a	51	6.5%
o	30	3.8%
r	27	3.4%
Other values (8)	50	6.3%

Uppercase Letter

Value	Count	Frequency (%)
E	49	37.4%
C	26	19.8%
N	13	9.9%
K	11	8.4%
R	10	7.6%
S	7	5.3%
T	7	5.3%
D	2	1.5%
P	2	1.5%
M	1	0.8%
Other values (3)	3	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	920	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	117	12.7%
i	112	12.2%
s	105	11.4%
h	88	9.6%
e	86	9.3%
g	70	7.6%
l	53	5.8%
a	51	5.5%
E	49	5.3%
o	30	3.3%
Other values (21)	159	17.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	920	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	117	12.7%
i	112	12.2%
s	105	11.4%
h	88	9.6%
e	86	9.3%
g	70	7.6%
l	53	5.8%
a	51	5.5%
E	49	5.3%
o	30	3.3%
Other values (21)	159	17.3%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

Running	65
Ended	48
To Be Determined	22

Length

Max length	16
Median length	7
Mean length	7.755555556
Min length	5

Characters and Unicode

Total characters	1047
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Running
3rd row	Running
4th row	Ended
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	65	48.1%
Ended	48	35.6%
To Be Determined	22	16.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	65	36.3%
ended	48	26.8%
to	22	12.3%
be	22	12.3%
determined	22	12.3%

Most occurring characters

Value	Count	Frequency (%)
n	265	25.3%
e	136	13.0%
d	118	11.3%
i	87	8.3%
R	65	6.2%
u	65	6.2%
g	65	6.2%
E	48	4.6%
	44	4.2%
T	22	2.1%
Other values (6)	132	12.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	824	78.7%
Uppercase Letter	179	17.1%
Space Separator	44	4.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	265	32.2%
e	136	16.5%
d	118	14.3%
i	87	10.6%
u	65	7.9%
g	65	7.9%
o	22	2.7%
t	22	2.7%
r	22	2.7%
m	22	2.7%

Uppercase Letter

Value	Count	Frequency (%)
R	65	36.3%
E	48	26.8%
T	22	12.3%
B	22	12.3%
D	22	12.3%

Space Separator

Value	Count	Frequency (%)
	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1003	95.8%
Common	44	4.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	265	26.4%
e	136	13.6%
d	118	11.8%
i	87	8.7%
R	65	6.5%
u	65	6.5%
g	65	6.5%
E	48	4.8%
T	22	2.2%
o	22	2.2%
Other values (5)	110	11.0%

Common

Value	Count	Frequency (%)
	44	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1047	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	265	25.3%
e	136	13.0%
d	118	11.3%
i	87	8.3%
R	65	6.2%
u	65	6.2%
g	65	6.2%
E	48	4.6%
	44	4.2%
T	22	2.1%
Other values (6)	132	12.6%

_embedded.show.runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	23
Distinct (%)	34.8%
Missing	69
Missing (%)	51.1%
Infinite	0
Infinite (%)	0.0%
Mean	32.84848485

Minimum	1
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	15
median	38
Q3	45
95-th percentile	50
Maximum	180
Range	179
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	24.69895197
Coefficient of variation (CV)	0.7519053644
Kurtosis	18.55450094
Mean	32.84848485
Median Absolute Deviation (MAD)	11
Skewness	3.145726199
Sum	2168
Variance	610.0382284
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
45	16	11.9%
40	7	5.2%
30	6	4.4%
10	5	3.7%
50	4	3.0%
38	3	2.2%
25	3	2.2%
20	3	2.2%
5	2	1.5%
4	2	1.5%
Other values (13)	15	11.1%
(Missing)	69	51.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.7%
4	2	1.5%
5	2	1.5%
6	2	1.5%
7	1	0.7%
8	1	0.7%
9	1	0.7%
10	5	3.7%
14	1	0.7%
15	2	1.5%

Value	Count	Frequency (%)
180	1	0.7%
62	1	0.7%
60	1	0.7%
50	4	3.0%
48	1	0.7%
45	16	11.9%
40	7	5.2%
38	3	2.2%
30	6	4.4%
25	3	2.2%

_embedded.show.averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	29.1%
Missing	18
Missing (%)	13.3%
Infinite	0
Infinite (%)	0.0%
Mean	30.39316239

Minimum	1
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	14
median	25
Q3	45
95-th percentile	62
Maximum	62
Range	61
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	18.10360855
Coefficient of variation (CV)	0.5956474129
Kurtosis	-1.151102071
Mean	30.39316239
Median Absolute Deviation (MAD)	16
Skewness	0.2369314498
Sum	3556
Variance	327.7406425
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
45	18	13.3%
62	9	6.7%
24	9	6.7%
20	7	5.2%
38	7	5.2%
30	5	3.7%
7	5	3.7%
8	4	3.0%
10	4	3.0%
58	4	3.0%
Other values (24)	45	33.3%
(Missing)	18	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.7%
4	2	1.5%
5	2	1.5%
6	3	2.2%
7	5	3.7%
8	4	3.0%
9	1	0.7%
10	4	3.0%
11	3	2.2%
12	3	2.2%

Value	Count	Frequency (%)
62	9	6.7%
60	2	1.5%
58	4	3.0%
53	1	0.7%
50	3	2.2%
48	1	0.7%
46	1	0.7%
45	18	13.3%
42	2	1.5%
40	1	0.7%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	61
Distinct (%)	45.2%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

2020-12-25	19
2019-03-11	13
2020-12-04	9
2016-02-07	7
2020-12-11	6
Other values (56)	81

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1350
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	32.6%

Sample

1st row	2015-02-13
2nd row	2010-12-13
3rd row	2019-12-24
4th row	2020-11-05
5th row	2020-12-17

Common Values

Value	Count	Frequency (%)
2020-12-25	19	14.1%
2019-03-11	13	9.6%
2020-12-04	9	6.7%
2016-02-07	7	5.2%
2020-12-11	6	4.4%
2020-12-21	5	3.7%
2020-05-29	5	3.7%
2017-10-02	4	3.0%
2020-12-24	4	3.0%
2019-01-17	3	2.2%
Other values (51)	60	44.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-25	19	14.1%
2019-03-11	13	9.6%
2020-12-04	9	6.7%
2016-02-07	7	5.2%
2020-12-11	6	4.4%
2020-12-21	5	3.7%
2020-05-29	5	3.7%
2017-10-02	4	3.0%
2020-12-24	4	3.0%
2019-01-17	3	2.2%
Other values (51)	60	44.4%

Most occurring characters

Value	Count	Frequency (%)
2	347	25.7%
0	329	24.4%
-	270	20.0%
1	228	16.9%
9	42	3.1%
5	34	2.5%
4	27	2.0%
7	24	1.8%
3	22	1.6%
6	19	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1080	80.0%
Dash Punctuation	270	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	347	32.1%
0	329	30.5%
1	228	21.1%
9	42	3.9%
5	34	3.1%
4	27	2.5%
7	24	2.2%
3	22	2.0%
6	19	1.8%
8	8	0.7%

Dash Punctuation

Value	Count	Frequency (%)
-	270	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1350	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	347	25.7%
0	329	24.4%
-	270	20.0%
1	228	16.9%
9	42	3.1%
5	34	2.5%
4	27	2.0%
7	24	1.8%
3	22	1.6%
6	19	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1350	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	347	25.7%
0	329	24.4%
-	270	20.0%
1	228	16.9%
9	42	3.1%
5	34	2.5%
4	27	2.0%
7	24	1.8%
3	22	1.6%
6	19	1.4%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	50.0%
Missing	87
Missing (%)	64.4%
Memory size	1.2 KiB

2020-12-25	10
2021-01-01	5
2021-01-07	4
2021-01-04	2
2021-01-02	2
Other values (19)	25

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	480
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	27.1%

Sample

1st row	2020-12-24
2nd row	2020-12-25
3rd row	2020-12-28
4th row	2021-01-07
5th row	2021-01-07

Common Values

Value	Count	Frequency (%)
2020-12-25	10	7.4%
2021-01-01	5	3.7%
2021-01-07	4	3.0%
2021-01-04	2	1.5%
2021-01-02	2	1.5%
2021-01-28	2	1.5%
2020-12-31	2	1.5%
2021-03-12	2	1.5%
2021-01-09	2	1.5%
2021-01-14	2	1.5%
Other values (14)	15	11.1%
(Missing)	87	64.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-25	10	20.8%
2021-01-01	5	10.4%
2021-01-07	4	8.3%
2021-03-12	2	4.2%
2021-01-29	2	4.2%
2021-01-14	2	4.2%
2021-01-09	2	4.2%
2020-12-31	2	4.2%
2021-01-28	2	4.2%
2021-01-02	2	4.2%
Other values (14)	15	31.2%

Most occurring characters

Value	Count	Frequency (%)
2	141	29.4%
0	116	24.2%
-	96	20.0%
1	88	18.3%
5	13	2.7%
4	5	1.0%
8	5	1.0%
9	5	1.0%
7	4	0.8%
3	4	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	384	80.0%
Dash Punctuation	96	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	141	36.7%
0	116	30.2%
1	88	22.9%
5	13	3.4%
4	5	1.3%
8	5	1.3%
9	5	1.3%
7	4	1.0%
3	4	1.0%
6	3	0.8%

Dash Punctuation

Value	Count	Frequency (%)
-	96	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	480	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	141	29.4%
0	116	24.2%
-	96	20.0%
1	88	18.3%
5	13	2.7%
4	5	1.0%
8	5	1.0%
9	5	1.0%
7	4	0.8%
3	4	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	480	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	141	29.4%
0	116	24.2%
-	96	20.0%
1	88	18.3%
5	13	2.7%
4	5	1.0%
8	5	1.0%
9	5	1.0%
7	4	0.8%
3	4	0.8%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	69
Distinct (%)	63.9%
Missing	27
Missing (%)	20.0%
Memory size	1.2 KiB

https://www.netflix.com/title/80232398	8
https://www.crave.ca/tv-shows/letterkenny	7
https://tv.nrk.no/serie/ida-og-martin-paa-notholmen	6
https://www.amazon.com/gp/video/detail/B0891S22PR/	5
https://www.svtplay.se/var-tid-ar-nu	4
Other values (64)	78

Length

Max length	250
Median length	74
Mean length	51.02777778
Min length	20

Characters and Unicode

Total characters	5511
Distinct characters	75
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	50.9%

Sample

1st row	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html
2nd row	http://www.fixiki.ru
3rd row	https://www.youtube.com/playlist?list=PLmkbS48df311cZnmhlV-5q5vY0icLXdl3
4th row	https://more.tv/psih
5th row	https://www.ivi.ru/watch/muzhskaya-tema

Common Values

Value	Count	Frequency (%)
https://www.netflix.com/title/80232398	8	5.9%
https://www.crave.ca/tv-shows/letterkenny	7	5.2%
https://tv.nrk.no/serie/ida-og-martin-paa-notholmen	6	4.4%
https://www.amazon.com/gp/video/detail/B0891S22PR/	5	3.7%
https://www.svtplay.se/var-tid-ar-nu	4	3.0%
https://v.youku.com/v_show/id_XNDk1MzY2NzgwNA==.html?spm=a2h0c.8166622.PhoneSokuProgram_1.dtitle&s=aaed627feea749d7a99d	4	3.0%
https://www.netflix.com/title/81273728	3	2.2%
https://tv.nrk.no/serie/bablo	3	2.2%
https://www.viki.com/tv/37486c-wish-you	3	2.2%
https://www.iq.com/play/1n40eysnffc	2	1.5%
Other values (59)	63	46.7%
(Missing)	27	20.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.netflix.com/title/80232398	8	7.4%
https://www.crave.ca/tv-shows/letterkenny	7	6.5%
https://tv.nrk.no/serie/ida-og-martin-paa-notholmen	6	5.6%
https://www.amazon.com/gp/video/detail/b0891s22pr	5	4.6%
https://www.svtplay.se/var-tid-ar-nu	4	3.7%
https://v.youku.com/v_show/id_xndk1mzy2nzgwna==.html?spm=a2h0c.8166622.phonesokuprogram_1.dtitle&s=aaed627feea749d7a99d	4	3.7%
https://www.netflix.com/title/81273728	3	2.8%
https://tv.nrk.no/serie/bablo	3	2.8%
https://www.viki.com/tv/37486c-wish-you	3	2.8%
https://www.iqiyi.com/a_19rrhllpip.html	2	1.9%
Other values (59)	63	58.3%

Most occurring characters

Value	Count	Frequency (%)
/	436	7.9%
t	425	7.7%
w	263	4.8%
s	250	4.5%
e	233	4.2%
.	233	4.2%
o	222	4.0%
i	214	3.9%
a	205	3.7%
h	194	3.5%
Other values (65)	2836	51.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3540	64.2%
Other Punctuation	854	15.5%
Decimal Number	660	12.0%
Uppercase Letter	287	5.2%
Dash Punctuation	101	1.8%
Math Symbol	36	0.7%
Connector Punctuation	33	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	425	12.0%
w	263	7.4%
s	250	7.1%
e	233	6.6%
o	222	6.3%
i	214	6.0%
a	205	5.8%
h	194	5.5%
p	178	5.0%
l	160	4.5%
Other values (16)	1196	33.8%

Uppercase Letter

Value	Count	Frequency (%)
P	30	10.5%
A	20	7.0%
S	20	7.0%
N	19	6.6%
B	19	6.6%
E	16	5.6%
R	15	5.2%
L	15	5.2%
D	14	4.9%
C	14	4.9%
Other values (16)	105	36.6%

Decimal Number

Value	Count	Frequency (%)
1	89	13.5%
2	89	13.5%
8	72	10.9%
0	70	10.6%
9	69	10.5%
3	61	9.2%
6	57	8.6%
7	56	8.5%
4	54	8.2%
5	43	6.5%

Other Punctuation

Value	Count	Frequency (%)
/	436	51.1%
.	233	27.3%
:	126	14.8%
%	33	3.9%
?	17	2.0%
&	7	0.8%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	33	91.7%
+	2	5.6%
~	1	2.8%

Dash Punctuation

Value	Count	Frequency (%)
-	101	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3827	69.4%
Common	1684	30.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	425	11.1%
w	263	6.9%
s	250	6.5%
e	233	6.1%
o	222	5.8%
i	214	5.6%
a	205	5.4%
h	194	5.1%
p	178	4.7%
l	160	4.2%
Other values (42)	1483	38.8%

Common

Value	Count	Frequency (%)
/	436	25.9%
.	233	13.8%
:	126	7.5%
-	101	6.0%
1	89	5.3%
2	89	5.3%
8	72	4.3%
0	70	4.2%
9	69	4.1%
3	61	3.6%
Other values (13)	338	20.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5511	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	436	7.9%
t	425	7.7%
w	263	4.8%
s	250	4.5%
e	233	4.2%
.	233	4.2%
o	222	4.0%
i	214	3.9%
a	205	3.7%
h	194	3.5%
Other values (65)	2836	51.5%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

	105
06:00	7
20:00	6
12:00	4
18:00	4
Other values (6)	9

Length

Max length	5
Median length	0
Mean length	1.111111111
Min length	0

Characters and Unicode

Total characters	150
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	3.0%

Sample

1st row
2nd row
3rd row
4th row
5th row	12:00

Common Values

Value	Count	Frequency (%)
	105	77.8%
06:00	7	5.2%
20:00	6	4.4%
12:00	4	3.0%
18:00	4	3.0%
19:00	3	2.2%
00:00	2	1.5%
10:00	1	0.7%
17:00	1	0.7%
20:45	1	0.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
06:00	7	23.3%
20:00	6	20.0%
12:00	4	13.3%
18:00	4	13.3%
19:00	3	10.0%
00:00	2	6.7%
10:00	1	3.3%
17:00	1	3.3%
20:45	1	3.3%
22:00	1	3.3%

Most occurring characters

Value	Count	Frequency (%)
0	77	51.3%
:	30	20.0%
2	13	8.7%
1	13	8.7%
6	7	4.7%
8	4	2.7%
9	3	2.0%
7	1	0.7%
4	1	0.7%
5	1	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120	80.0%
Other Punctuation	30	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	77	64.2%
2	13	10.8%
1	13	10.8%
6	7	5.8%
8	4	3.3%
9	3	2.5%
7	1	0.8%
4	1	0.8%
5	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
:	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	150	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	77	51.3%
:	30	20.0%
2	13	8.7%
1	13	8.7%
6	7	4.7%
8	4	2.7%
9	3	2.0%
7	1	0.7%
4	1	0.7%
5	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	77	51.3%
:	30	20.0%
2	13	8.7%
1	13	8.7%
6	7	4.7%
8	4	2.7%
9	3	2.0%
7	1	0.7%
4	1	0.7%
5	1	0.7%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

_embedded.show.rating.average
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	30.4%
Missing	112
Missing (%)	83.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.473913043

Minimum	5
Maximum	8.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	5
5-th percentile	6.48
Q1	7.3
median	7.3
Q3	8.2
95-th percentile	8.2
Maximum	8.2
Range	3.2
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.7275221904
Coefficient of variation (CV)	0.09734153798
Kurtosis	5.239032349
Mean	7.473913043
Median Absolute Deviation (MAD)	0.2
Skewness	-1.775634176
Sum	171.9
Variance	0.5292885375
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
7.3	8	5.9%
8.2	7	5.2%
7.2	3	2.2%
7.8	2	1.5%
6.4	1	0.7%
7.5	1	0.7%
5	1	0.7%
(Missing)	112	83.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	0.7%
6.4	1	0.7%
7.2	3	2.2%
7.3	8	5.9%
7.5	1	0.7%
7.8	2	1.5%
8.2	7	5.2%

Value	Count	Frequency (%)
8.2	7	5.2%
7.8	2	1.5%
7.5	1	0.7%
7.3	8	5.9%
7.2	3	2.2%
6.4	1	0.7%
5	1	0.7%

_embedded.show.weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	45
Distinct (%)	33.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.31111111

Minimum	0
Maximum	97
Zeros	8
Zeros (%)	5.9%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	8.5
median	27
Q3	50
95-th percentile	97
Maximum	97
Range	97
Interquartile range (IQR)	41.5

Descriptive statistics

Standard deviation	30.2577156
Coefficient of variation (CV)	0.8568893656
Kurtosis	-0.4152502295
Mean	35.31111111
Median Absolute Deviation (MAD)	19
Skewness	0.8740723779
Sum	4767
Variance	915.5293532
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
7	14	10.4%
23	9	6.7%
97	8	5.9%
0	8	5.9%
95	7	5.2%
4	7	5.2%
30	7	5.2%
20	6	4.4%
38	6	4.4%
11	4	3.0%
Other values (35)	59	43.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	5.9%
2	1	0.7%
3	2	1.5%
4	7	5.2%
7	14	10.4%
8	2	1.5%
9	1	0.7%
11	4	3.0%
14	3	2.2%
18	1	0.7%

Value	Count	Frequency (%)
97	8	5.9%
95	7	5.2%
92	1	0.7%
81	1	0.7%
80	4	3.0%
77	1	0.7%
76	1	0.7%
75	1	0.7%
69	1	0.7%
68	2	1.5%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

_embedded.show.webChannel.id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	37
Distinct (%)	27.6%
Missing	1
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	128.8059701

Minimum	1
Maximum	516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	21
median	89.5
Q3	190
95-th percentile	423.1
Maximum	516
Range	515
Interquartile range (IQR)	169

Descriptive statistics

Standard deviation	128.3683303
Coefficient of variation (CV)	0.9966023329
Kurtosis	0.698793113
Mean	128.8059701
Median Absolute Deviation (MAD)	68.5
Skewness	1.244366571
Sum	17260
Variance	16478.42823
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
67	22	16.3%
21	18	13.3%
238	11	8.1%
1	11	8.1%
118	8	5.9%
104	7	5.2%
109	7	5.2%
3	5	3.7%
287	4	3.0%
30	4	3.0%
Other values (27)	37	27.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11	8.1%
3	5	3.7%
12	1	0.7%
15	1	0.7%
21	18	13.3%
30	4	3.0%
51	2	1.5%
56	1	0.7%
67	22	16.3%
73	1	0.7%

Value	Count	Frequency (%)
516	1	0.7%
464	1	0.7%
452	1	0.7%
445	2	1.5%
440	2	1.5%
414	1	0.7%
410	1	0.7%
405	1	0.7%
399	1	0.7%
367	1	0.7%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION

Distinct	37
Distinct (%)	27.6%
Missing	1
Missing (%)	0.7%
Memory size	1.2 KiB

iQIYI	22
YouTube	18
NRK TV	11
Netflix	11
Youku	8
Other values (32)	64

Length

Max length	14
Median length	12
Mean length	7.126865672
Min length	3

Characters and Unicode

Total characters	955
Distinct characters	49
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	14.9%

Sample

1st row	Seasonvar
2nd row	YouTube
3rd row	more.tv
4th row	ivi
5th row	Tencent QQ

Common Values

Value	Count	Frequency (%)
iQIYI	22	16.3%
YouTube	18	13.3%
NRK TV	11	8.1%
Netflix	11	8.1%
Youku	8	5.9%
Tencent QQ	7	5.2%
CraveTV	7	5.2%
Prime Video	5	3.7%
Disney+	4	3.0%
Naver TVCast	4	3.0%
Other values (27)	37	27.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
iqiyi	22	12.5%
youtube	18	10.2%
tv	15	8.5%
nrk	11	6.2%
netflix	11	6.2%
youku	8	4.5%
tencent	7	4.0%
qq	7	4.0%
cravetv	7	4.0%
video	5	2.8%
Other values (37)	65	36.9%

Most occurring characters

Value	Count	Frequency (%)
e	83	8.7%
i	74	7.7%
T	61	6.4%
u	55	5.8%
I	50	5.2%
Y	48	5.0%
o	44	4.6%
	42	4.4%
V	41	4.3%
a	38	4.0%
Other values (39)	419	43.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	544	57.0%
Uppercase Letter	356	37.3%
Space Separator	42	4.4%
Math Symbol	10	1.0%
Other Punctuation	3	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	83	15.3%
i	74	13.6%
u	55	10.1%
o	44	8.1%
a	38	7.0%
t	35	6.4%
r	26	4.8%
l	23	4.2%
b	22	4.0%
n	21	3.9%
Other values (13)	123	22.6%

Uppercase Letter

Value	Count	Frequency (%)
T	61	17.1%
I	50	14.0%
Y	48	13.5%
V	41	11.5%
Q	36	10.1%
N	29	8.1%
C	17	4.8%
S	12	3.4%
K	12	3.4%
P	12	3.4%
Other values (11)	38	10.7%

Math Symbol

Value	Count	Frequency (%)
+	8	80.0%
\|	2	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	2	66.7%
:	1	33.3%

Space Separator

Value	Count	Frequency (%)
	42	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	900	94.2%
Common	55	5.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	83	9.2%
i	74	8.2%
T	61	6.8%
u	55	6.1%
I	50	5.6%
Y	48	5.3%
o	44	4.9%
V	41	4.6%
a	38	4.2%
Q	36	4.0%
Other values (34)	370	41.1%

Common

Value	Count	Frequency (%)
	42	76.4%
+	8	14.5%
\|	2	3.6%
.	2	3.6%
:	1	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	955	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	83	8.7%
i	74	7.7%
T	61	6.4%
u	55	5.8%
I	50	5.2%
Y	48	5.0%
o	44	4.6%
	42	4.4%
V	41	4.3%
a	38	4.0%
Other values (39)	419	43.9%

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	23.4%
Missing	71
Missing (%)	52.6%
Memory size	1.2 KiB

China	18
Norway	11
Canada	8
Korea, Republic of	6
Russian Federation	4
Other values (10)	17

Length

Max length	25
Median length	18
Mean length	8.609375
Min length	5

Characters and Unicode

Total characters	551
Distinct characters	37
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	7.8%

Sample

1st row	Russian Federation
2nd row	Russian Federation
3rd row	Russian Federation
4th row	China
5th row	Korea, Republic of

Common Values

Value	Count	Frequency (%)
China	18	13.3%
Norway	11	8.1%
Canada	8	5.9%
Korea, Republic of	6	4.4%
Russian Federation	4	3.0%
Sweden	4	3.0%
Taiwan, Province of China	2	1.5%
Spain	2	1.5%
Portugal	2	1.5%
United States	2	1.5%
Other values (5)	5	3.7%
(Missing)	71	52.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
china	20	22.7%
norway	11	12.5%
canada	8	9.1%
of	8	9.1%
korea	6	6.8%
republic	6	6.8%
russian	4	4.5%
federation	4	4.5%
sweden	4	4.5%
portugal	2	2.3%
Other values (10)	15	17.0%

Most occurring characters

Value	Count	Frequency (%)
a	87	15.8%
n	51	9.3%
i	45	8.2%
e	37	6.7%
o	33	6.0%
C	28	5.1%
r	26	4.7%
	24	4.4%
h	22	4.0%
d	20	3.6%
Other values (27)	178	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	439	79.7%
Uppercase Letter	80	14.5%
Space Separator	24	4.4%
Other Punctuation	8	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	87	19.8%
n	51	11.6%
i	45	10.3%
e	37	8.4%
o	33	7.5%
r	26	5.9%
h	22	5.0%
d	20	4.6%
w	17	3.9%
t	14	3.2%
Other values (13)	87	19.8%

Uppercase Letter

Value	Count	Frequency (%)
C	28	35.0%
N	12	15.0%
R	10	12.5%
S	8	10.0%
K	7	8.8%
F	4	5.0%
P	4	5.0%
T	2	2.5%
U	2	2.5%
M	1	1.2%
Other values (2)	2	2.5%

Space Separator

Value	Count	Frequency (%)
	24	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	519	94.2%
Common	32	5.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	87	16.8%
n	51	9.8%
i	45	8.7%
e	37	7.1%
o	33	6.4%
C	28	5.4%
r	26	5.0%
h	22	4.2%
d	20	3.9%
w	17	3.3%
Other values (25)	153	29.5%

Common

Value	Count	Frequency (%)
	24	75.0%
,	8	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	551	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	87	15.8%
n	51	9.3%
i	45	8.2%
e	37	6.7%
o	33	6.0%
C	28	5.1%
r	26	4.7%
	24	4.4%
h	22	4.0%
d	20	3.6%
Other values (27)	178	32.3%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	23.4%
Missing	71
Missing (%)	52.6%
Memory size	1.2 KiB

CN	18
NO	11
CA	8
KR	6
RU	4
Other values (10)	17

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	128
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	7.8%

Sample

1st row	RU
2nd row	RU
3rd row	RU
4th row	CN
5th row	KR

Common Values

Value	Count	Frequency (%)
CN	18	13.3%
NO	11	8.1%
CA	8	5.9%
KR	6	4.4%
RU	4	3.0%
SE	4	3.0%
TW	2	1.5%
ES	2	1.5%
PT	2	1.5%
US	2	1.5%
Other values (5)	5	3.7%
(Missing)	71	52.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cn	18	28.1%
no	11	17.2%
ca	8	12.5%
kr	6	9.4%
ru	4	6.2%
se	4	6.2%
tw	2	3.1%
es	2	3.1%
pt	2	3.1%
us	2	3.1%
Other values (5)	5	7.8%

Most occurring characters

Value	Count	Frequency (%)
N	31	24.2%
C	26	20.3%
O	11	8.6%
R	10	7.8%
A	8	6.2%
S	8	6.2%
K	7	5.5%
E	7	5.5%
U	6	4.7%
T	4	3.1%
Other values (8)	10	7.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	128	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	31	24.2%
C	26	20.3%
O	11	8.6%
R	10	7.8%
A	8	6.2%
S	8	6.2%
K	7	5.5%
E	7	5.5%
U	6	4.7%
T	4	3.1%
Other values (8)	10	7.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	128	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	31	24.2%
C	26	20.3%
O	11	8.6%
R	10	7.8%
A	8	6.2%
S	8	6.2%
K	7	5.5%
E	7	5.5%
U	6	4.7%
T	4	3.1%
Other values (8)	10	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	128	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	31	24.2%
C	26	20.3%
O	11	8.6%
R	10	7.8%
A	8	6.2%
S	8	6.2%
K	7	5.5%
E	7	5.5%
U	6	4.7%
T	4	3.1%
Other values (8)	10	7.8%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	23.4%
Missing	71
Missing (%)	52.6%
Memory size	1.2 KiB

Asia/Shanghai	18
Europe/Oslo	11
America/Halifax	8
Asia/Seoul	6
Asia/Kamchatka	4
Other values (10)	17

Length

Max length	16
Median length	15
Mean length	12.96875
Min length	10

Characters and Unicode

Total characters	830
Distinct characters	38
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	7.8%

Sample

1st row	Asia/Kamchatka
2nd row	Asia/Kamchatka
3rd row	Asia/Kamchatka
4th row	Asia/Shanghai
5th row	Asia/Seoul

Common Values

Value	Count	Frequency (%)
Asia/Shanghai	18	13.3%
Europe/Oslo	11	8.1%
America/Halifax	8	5.9%
Asia/Seoul	6	4.4%
Asia/Kamchatka	4	3.0%
Europe/Stockholm	4	3.0%
Asia/Taipei	2	1.5%
Europe/Madrid	2	1.5%
Europe/Lisbon	2	1.5%
America/New_York	2	1.5%
Other values (5)	5	3.7%
(Missing)	71	52.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
asia/shanghai	18	28.1%
europe/oslo	11	17.2%
america/halifax	8	12.5%
asia/seoul	6	9.4%
asia/kamchatka	4	6.2%
europe/stockholm	4	6.2%
asia/taipei	2	3.1%
europe/madrid	2	3.1%
europe/lisbon	2	3.1%
america/new_york	2	3.1%
Other values (5)	5	7.8%

Most occurring characters

Value	Count	Frequency (%)
a	115	13.9%
i	78	9.4%
/	64	7.7%
o	52	6.3%
s	50	6.0%
h	45	5.4%
A	44	5.3%
e	43	5.2%
r	38	4.6%
l	32	3.9%
Other values (28)	269	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	634	76.4%
Uppercase Letter	130	15.7%
Other Punctuation	64	7.7%
Connector Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	115	18.1%
i	78	12.3%
o	52	8.2%
s	50	7.9%
h	45	7.1%
e	43	6.8%
r	38	6.0%
l	32	5.0%
u	29	4.6%
p	23	3.6%
Other values (13)	129	20.3%

Uppercase Letter

Value	Count	Frequency (%)
A	44	33.8%
S	28	21.5%
E	21	16.2%
O	11	8.5%
H	8	6.2%
K	6	4.6%
T	2	1.5%
M	2	1.5%
L	2	1.5%
N	2	1.5%
Other values (3)	4	3.1%

Other Punctuation

Value	Count	Frequency (%)
/	64	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	764	92.0%
Common	66	8.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	115	15.1%
i	78	10.2%
o	52	6.8%
s	50	6.5%
h	45	5.9%
A	44	5.8%
e	43	5.6%
r	38	5.0%
l	32	4.2%
u	29	3.8%
Other values (26)	238	31.2%

Common

Value	Count	Frequency (%)
/	64	97.0%
_	2	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	830	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	115	13.9%
i	78	9.4%
/	64	7.7%
o	52	6.3%
s	50	6.0%
h	45	5.4%
A	44	5.3%
e	43	5.2%
r	38	4.6%
l	32	3.9%
Other values (28)	269	32.4%

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	19.3%
Missing	52
Missing (%)	38.5%
Memory size	1.2 KiB

https://www.iq.com/	22
https://www.youtube.com	18
https://www.netflix.com/	11
https://v.qq.com/	7
https://www.primevideo.com	5
Other values (11)	20

Length

Max length	30
Median length	26
Mean length	21.89156627
Min length	17

Characters and Unicode

Total characters	1817
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	8.4%

Sample

1st row	https://www.youtube.com
2nd row	https://www.ivi.ru/
3rd row	https://v.qq.com/
4th row	https://tv.naver.com/
5th row	https://www.iq.com/

Common Values

Value	Count	Frequency (%)
https://www.iq.com/	22	16.3%
https://www.youtube.com	18	13.3%
https://www.netflix.com/	11	8.1%
https://v.qq.com/	7	5.2%
https://www.primevideo.com	5	3.7%
https://tv.naver.com/	4	3.0%
https://www.disneyplus.com/	4	3.0%
https://www.viki.com/	3	2.2%
https://www.discoveryplus.com/	2	1.5%
https://tv.kakao.com/top	1	0.7%
Other values (6)	6	4.4%
(Missing)	52	38.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.iq.com	22	26.5%
https://www.youtube.com	18	21.7%
https://www.netflix.com	11	13.3%
https://v.qq.com	7	8.4%
https://www.primevideo.com	5	6.0%
https://tv.naver.com	4	4.8%
https://www.disneyplus.com	4	4.8%
https://www.viki.com	3	3.6%
https://www.discoveryplus.com	2	2.4%
https://tv.kakao.com/top	1	1.2%
Other values (6)	6	7.2%

Most occurring characters

Value	Count	Frequency (%)
/	225	12.4%
w	213	11.7%
t	206	11.3%
.	165	9.1%
o	108	5.9%
p	97	5.3%
s	97	5.3%
m	85	4.7%
h	83	4.6%
:	83	4.6%
Other values (16)	455	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1344	74.0%
Other Punctuation	473	26.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	213	15.8%
t	206	15.3%
o	108	8.0%
p	97	7.2%
s	97	7.2%
m	85	6.3%
h	83	6.2%
c	83	6.2%
i	62	4.6%
e	54	4.0%
Other values (13)	256	19.0%

Other Punctuation

Value	Count	Frequency (%)
/	225	47.6%
.	165	34.9%
:	83	17.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1344	74.0%
Common	473	26.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	213	15.8%
t	206	15.3%
o	108	8.0%
p	97	7.2%
s	97	7.2%
m	85	6.3%
h	83	6.2%
c	83	6.2%
i	62	4.6%
e	54	4.0%
Other values (13)	256	19.0%

Common

Value	Count	Frequency (%)
/	225	47.6%
.	165	34.9%
:	83	17.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1817	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	225	12.4%
w	213	11.7%
t	206	11.3%
.	165	9.1%
o	108	5.9%
p	97	5.3%
s	97	5.3%
m	85	4.7%
h	83	4.6%
:	83	4.6%
Other values (16)	455	25.0%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

_embedded.show.externals.tvrage
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

_embedded.show.externals.thetvdb
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	54.3%
Missing	43
Missing (%)	31.9%
Infinite	0
Infinite (%)	0.0%
Mean	363744.4022

Minimum	244021
Maximum	410187
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	244021
5-th percentile	302938
Q1	360036.25
median	366668
Q3	391761.5
95-th percentile	395028.15
Maximum	410187
Range	166166
Interquartile range (IQR)	31725.25

Descriptive statistics

Standard deviation	34626.98632
Coefficient of variation (CV)	0.09519592909
Kurtosis	1.326624383
Mean	363744.4022
Median Absolute Deviation (MAD)	24894
Skewness	-1.325362896
Sum	33464485
Variance	1199028181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360513	13	9.6%
366668	8	5.9%
302938	7	5.2%
384792	5	3.7%
330606	4	3.0%
391562	3	2.2%
395714	3	2.2%
331095	2	1.5%
393229	2	1.5%
394072	2	1.5%
Other values (40)	43	31.9%
(Missing)	43	31.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
244021	1	0.7%
265193	1	0.7%
272157	1	0.7%
290686	1	0.7%
302938	7	5.2%
310311	1	0.7%
323420	1	0.7%
330606	4	3.0%
331095	2	1.5%
336628	1	0.7%

Value	Count	Frequency (%)
410187	1	0.7%
397734	1	0.7%
395714	3	2.2%
394467	1	0.7%
394087	2	1.5%
394072	2	1.5%
393942	1	0.7%
393743	1	0.7%
393337	1	0.7%
393256	1	0.7%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct	32
Distinct (%)	44.4%
Missing	63
Missing (%)	46.7%
Memory size	1.2 KiB

tt5096624	13
tt8740790	8
tt4647692	7
tt12268838	5
tt5603140	4
Other values (27)	35

Length

Max length	10
Median length	9
Mean length	9.472222222
Min length	9

Characters and Unicode

Total characters	682
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	29.2%

Sample

1st row	tt3886188
2nd row	tt14125832
3rd row	tt11939550
4th row	tt11939550
5th row	tt8871128

Common Values

Value	Count	Frequency (%)
tt5096624	13	9.6%
tt8740790	8	5.9%
tt4647692	7	5.2%
tt12268838	5	3.7%
tt5603140	4	3.0%
tt13711094	3	2.2%
tt12217152	3	2.2%
tt8871128	2	1.5%
tt11939550	2	1.5%
tt13599000	2	1.5%
Other values (22)	23	17.0%
(Missing)	63	46.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tt5096624	13	18.1%
tt8740790	8	11.1%
tt4647692	7	9.7%
tt12268838	5	6.9%
tt5603140	4	5.6%
tt13711094	3	4.2%
tt12217152	3	4.2%
tt13599000	2	2.8%
tt13568876	2	2.8%
tt11939550	2	2.8%
Other values (22)	23	31.9%

Most occurring characters

Value	Count	Frequency (%)
t	144	21.1%
1	65	9.5%
0	64	9.4%
2	63	9.2%
6	62	9.1%
4	60	8.8%
8	56	8.2%
9	48	7.0%
7	45	6.6%
3	41	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	538	78.9%
Lowercase Letter	144	21.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	65	12.1%
0	64	11.9%
2	63	11.7%
6	62	11.5%
4	60	11.2%
8	56	10.4%
9	48	8.9%
7	45	8.4%
3	41	7.6%
5	34	6.3%

Lowercase Letter

Value	Count	Frequency (%)
t	144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	538	78.9%
Latin	144	21.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	65	12.1%
0	64	11.9%
2	63	11.7%
6	62	11.5%
4	60	11.2%
8	56	10.4%
9	48	8.9%
7	45	8.4%
3	41	7.6%
5	34	6.3%

Latin

Value	Count	Frequency (%)
t	144	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	682	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	144	21.1%
1	65	9.5%
0	64	9.4%
2	63	9.2%
6	62	9.1%
4	60	8.8%
8	56	8.2%
9	48	7.0%
7	45	6.6%
3	41	6.0%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	75
Distinct (%)	60.0%
Missing	10
Missing (%)	7.4%
Memory size	1.2 KiB

https://static.tvmaze.com/uploads/images/medium_portrait/385/962619.jpg	13
https://static.tvmaze.com/uploads/images/medium_portrait/398/995479.jpg	8
https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	7
https://static.tvmaze.com/uploads/images/medium_portrait/399/998235.jpg	5
https://static.tvmaze.com/uploads/images/medium_portrait/289/722651.jpg	4
Other values (70)	88

Length

Max length	72
Median length	71
Mean length	71.032
Min length	70

Characters and Unicode

Total characters	8879
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	45.6%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_portrait/294/735323.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_portrait/164/410098.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_portrait/267/668782.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_portrait/295/739859.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_portrait/289/723328.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/385/962619.jpg	13	9.6%
https://static.tvmaze.com/uploads/images/medium_portrait/398/995479.jpg	8	5.9%
https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	7	5.2%
https://static.tvmaze.com/uploads/images/medium_portrait/399/998235.jpg	5	3.7%
https://static.tvmaze.com/uploads/images/medium_portrait/289/722651.jpg	4	3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/728621.jpg	4	3.0%
https://static.tvmaze.com/uploads/images/medium_portrait/407/1019169.jpg	3	2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/284/711863.jpg	3	2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877136.jpg	3	2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731348.jpg	2	1.5%
Other values (65)	73	54.1%
(Missing)	10	7.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/385/962619.jpg	13	10.4%
https://static.tvmaze.com/uploads/images/medium_portrait/398/995479.jpg	8	6.4%
https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	7	5.6%
https://static.tvmaze.com/uploads/images/medium_portrait/399/998235.jpg	5	4.0%
https://static.tvmaze.com/uploads/images/medium_portrait/289/722651.jpg	4	3.2%
https://static.tvmaze.com/uploads/images/medium_portrait/291/728621.jpg	4	3.2%
https://static.tvmaze.com/uploads/images/medium_portrait/407/1019169.jpg	3	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/284/711863.jpg	3	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877136.jpg	3	2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg	2	1.6%
Other values (65)	73	58.4%

Most occurring characters

Value	Count	Frequency (%)
/	875	9.9%
t	875	9.9%
a	625	7.0%
m	625	7.0%
p	500	5.6%
s	500	5.6%
i	500	5.6%
.	375	4.2%
e	375	4.2%
o	375	4.2%
Other values (22)	3254	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6250	70.4%
Other Punctuation	1375	15.5%
Decimal Number	1129	12.7%
Connector Punctuation	125	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	875	14.0%
a	625	10.0%
m	625	10.0%
p	500	8.0%
s	500	8.0%
i	500	8.0%
e	375	6.0%
o	375	6.0%
d	250	4.0%
u	250	4.0%
Other values (8)	1375	22.0%

Decimal Number

Value	Count	Frequency (%)
9	177	15.7%
2	158	14.0%
7	132	11.7%
1	129	11.4%
8	119	10.5%
3	107	9.5%
6	103	9.1%
5	90	8.0%
4	58	5.1%
0	56	5.0%

Other Punctuation

Value	Count	Frequency (%)
/	875	63.6%
.	375	27.3%
:	125	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	125	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6250	70.4%
Common	2629	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	875	14.0%
a	625	10.0%
m	625	10.0%
p	500	8.0%
s	500	8.0%
i	500	8.0%
e	375	6.0%
o	375	6.0%
d	250	4.0%
u	250	4.0%
Other values (8)	1375	22.0%

Common

Value	Count	Frequency (%)
/	875	33.3%
.	375	14.3%
9	177	6.7%
2	158	6.0%
7	132	5.0%
1	129	4.9%
_	125	4.8%
:	125	4.8%
8	119	4.5%
3	107	4.1%
Other values (4)	307	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8879	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	875	9.9%
t	875	9.9%
a	625	7.0%
m	625	7.0%
p	500	5.6%
s	500	5.6%
i	500	5.6%
.	375	4.2%
e	375	4.2%
o	375	4.2%
Other values (22)	3254	36.6%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	75
Distinct (%)	60.0%
Missing	10
Missing (%)	7.4%
Memory size	1.2 KiB

https://static.tvmaze.com/uploads/images/original_untouched/385/962619.jpg	13
https://static.tvmaze.com/uploads/images/original_untouched/398/995479.jpg	8
https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	7
https://static.tvmaze.com/uploads/images/original_untouched/399/998235.jpg	5
https://static.tvmaze.com/uploads/images/original_untouched/289/722651.jpg	4
Other values (70)	88

Length

Max length	75
Median length	74
Mean length	74.032
Min length	73

Characters and Unicode

Total characters	9254
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	45.6%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/294/735323.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/164/410098.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/267/668782.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/295/739859.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/289/723328.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/385/962619.jpg	13	9.6%
https://static.tvmaze.com/uploads/images/original_untouched/398/995479.jpg	8	5.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	7	5.2%
https://static.tvmaze.com/uploads/images/original_untouched/399/998235.jpg	5	3.7%
https://static.tvmaze.com/uploads/images/original_untouched/289/722651.jpg	4	3.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/728621.jpg	4	3.0%
https://static.tvmaze.com/uploads/images/original_untouched/407/1019169.jpg	3	2.2%
https://static.tvmaze.com/uploads/images/original_untouched/284/711863.jpg	3	2.2%
https://static.tvmaze.com/uploads/images/original_untouched/350/877136.jpg	3	2.2%
https://static.tvmaze.com/uploads/images/original_untouched/292/731348.jpg	2	1.5%
Other values (65)	73	54.1%
(Missing)	10	7.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/385/962619.jpg	13	10.4%
https://static.tvmaze.com/uploads/images/original_untouched/398/995479.jpg	8	6.4%
https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	7	5.6%
https://static.tvmaze.com/uploads/images/original_untouched/399/998235.jpg	5	4.0%
https://static.tvmaze.com/uploads/images/original_untouched/289/722651.jpg	4	3.2%
https://static.tvmaze.com/uploads/images/original_untouched/291/728621.jpg	4	3.2%
https://static.tvmaze.com/uploads/images/original_untouched/407/1019169.jpg	3	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/284/711863.jpg	3	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/350/877136.jpg	3	2.4%
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg	2	1.6%
Other values (65)	73	58.4%

Most occurring characters

Value	Count	Frequency (%)
/	875	9.5%
t	750	8.1%
a	625	6.8%
s	500	5.4%
i	500	5.4%
o	500	5.4%
p	375	4.1%
c	375	4.1%
.	375	4.1%
g	375	4.1%
Other values (23)	4004	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6625	71.6%
Other Punctuation	1375	14.9%
Decimal Number	1129	12.2%
Connector Punctuation	125	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	750	11.3%
a	625	9.4%
s	500	7.5%
i	500	7.5%
o	500	7.5%
p	375	5.7%
c	375	5.7%
g	375	5.7%
m	375	5.7%
e	375	5.7%
Other values (9)	1875	28.3%

Decimal Number

Value	Count	Frequency (%)
9	177	15.7%
2	158	14.0%
7	132	11.7%
1	129	11.4%
8	119	10.5%
3	107	9.5%
6	103	9.1%
5	90	8.0%
4	58	5.1%
0	56	5.0%

Other Punctuation

Value	Count	Frequency (%)
/	875	63.6%
.	375	27.3%
:	125	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	125	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6625	71.6%
Common	2629	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	750	11.3%
a	625	9.4%
s	500	7.5%
i	500	7.5%
o	500	7.5%
p	375	5.7%
c	375	5.7%
g	375	5.7%
m	375	5.7%
e	375	5.7%
Other values (9)	1875	28.3%

Common

Value	Count	Frequency (%)
/	875	33.3%
.	375	14.3%
9	177	6.7%
2	158	6.0%
7	132	5.0%
1	129	4.9%
:	125	4.8%
_	125	4.8%
8	119	4.5%
3	107	4.1%
Other values (4)	307	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9254	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	875	9.5%
t	750	8.1%
a	625	6.8%
s	500	5.4%
i	500	5.4%
o	500	5.4%
p	375	4.1%
c	375	4.1%
.	375	4.1%
g	375	4.1%
Other values (23)	4004	43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	72
Distinct (%)	62.6%
Missing	20
Missing (%)	14.8%
Memory size	1.2 KiB

<p>Based on Julia Quinn's best-selling series of novels, <b>Bridgerton</b> is set in the sexy, lavish and competitive world of Regency London high society. From the glittering ballrooms of Mayfair to the aristocratic palaces of Park Lane and beyond, the series unveils a seductive, sumptuous world replete with intricate rules and dramatic power struggles, where no one is truly ever on steady ground. At the heart of the show is the powerful Bridgerton family. Comprised of eight close-knit siblings, this funny, witty, daring and clever group must navigate the upper ten thousand's marriage mart in search of romance, adventure and love.</p>	8
<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	7
<p>Ida and Martin pause city life and move to a small islet on the Romsdal coast. At Notholmen, they will explore an easier way of living.</p>	6
<p>Throughout the world, there are hundreds of independently-owned toy stores, each one as unique and endearing as the people that own them. For the loyal customers that flock to them, they're more than simply an outlet to obtain new treasures; they're a community.</p>	5
<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>	4
Other values (67)	85

Length

Max length	1360
Median length	569
Mean length	407.2521739
Min length	54

Characters and Unicode

Total characters	46834
Distinct characters	97
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	47.0%

Sample

1st row	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>
2nd row	<p>A bold humorous show in which comedians fight for 50,000 rubles! Six comedians will take to the stage to "fry" each other. The top two will go to the final, and only one will take the money with them!</p>
3rd row	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>
4th row	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>
5th row	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>

Common Values

Value	Count	Frequency (%)
<p>Based on Julia Quinn's best-selling series of novels, <b>Bridgerton</b> is set in the sexy, lavish and competitive world of Regency London high society. From the glittering ballrooms of Mayfair to the aristocratic palaces of Park Lane and beyond, the series unveils a seductive, sumptuous world replete with intricate rules and dramatic power struggles, where no one is truly ever on steady ground. At the heart of the show is the powerful Bridgerton family. Comprised of eight close-knit siblings, this funny, witty, daring and clever group must navigate the upper ten thousand's marriage mart in search of romance, adventure and love.</p>	8	5.9%
<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	7	5.2%
<p>Ida and Martin pause city life and move to a small islet on the Romsdal coast. At Notholmen, they will explore an easier way of living.</p>	6	4.4%
<p>Throughout the world, there are hundreds of independently-owned toy stores, each one as unique and endearing as the people that own them. For the loyal customers that flock to them, they're more than simply an outlet to obtain new treasures; they're a community.</p>	5	3.7%
<p>Two boggling mysteries have occured in a small town in Xinan. A female police captain joins hands with a young detective to conduct an investigation. Although a clear motive can be seen, the two discover a series of unknown secrets.</p><p>One case involves a late-night ride hailed through an online platform that goes terribly wrong. As more and more clues resurface, the cases in the hands of the police hands become complicated and entangled. In a desperate attempt to find the real culprit, events closely link the past, present and future of the small town.</p>	4	3.0%
<p>The Löwander family operate one of the most prestigious restaurants in Stockholm, exploring what becomes of the establishment as a new era dawns.</p>	4	3.0%
<p>A free-spirited singer whose love of music has him performing on the streets, Kang In Soo's life revolves completely around music. Supported by his friends, In Soo hopes to someday turn his love of music into a full-time career, but doing so isn't easy. Refusing to give up on his dreams, In Soo continues busking, day in and day out, while his best friend, Choi Min Sung, records his performances and uploads them on YouTube. Little does either of them know that In Soo's performances have caught the attention of someone who could change the young musician's life forever.</p><p>A keyboardist working at a major record company, Yoon Sang Yi is always on the lookout for new talent. After stumbling upon In Soo's videos, Sang Yi has become one of the singer's biggest fans. Convinced In Soo could make it big, he recommends the young artist join his company's rookie discovery project. Seeing this opportunity in this invitation, In Soo accepts the offer and soon moves into the company residence with Sang Yi.</p><p>As the two live and work together, their relationship grows and slowly, new feelings begin to blossom. Unfortunately, as their feelings grow, so do the obstacles that stand in their way. Will In Soo and Sang Yi be able to find a way to overcome the trials before them or will their love fade before ever having a chance to fully bloom?</p>	3	2.2%
<p>With winter behind them, Bheem and his townspeople usher in a sunny new season in all their favorite ways during the Makar Sankranti festival.</p>	3	2.2%
<p>Welcome to <b>Bablo</b>, the world's best library!</p>	3	2.2%
<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>	2	1.5%
Other values (62)	70	51.9%
(Missing)	20	14.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	478	6.1%
of	274	3.5%
and	252	3.2%
a	217	2.8%
to	203	2.6%
in	163	2.1%
is	98	1.3%
with	75	1.0%
on	72	0.9%
his	69	0.9%
Other values (1841)	5934	75.7%

Most occurring characters

Value	Count	Frequency (%)
	7709	16.5%
e	4420	9.4%
t	3015	6.4%
o	2852	6.1%
n	2765	5.9%
a	2700	5.8%
i	2542	5.4%
s	2296	4.9%
r	2196	4.7%
h	1821	3.9%
Other values (87)	14518	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	35546	75.9%
Space Separator	7721	16.5%
Other Punctuation	1301	2.8%
Uppercase Letter	1269	2.7%
Math Symbol	775	1.7%
Dash Punctuation	98	0.2%
Decimal Number	85	0.2%
Open Punctuation	13	< 0.1%
Close Punctuation	13	< 0.1%
Format	12	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4420	12.4%
t	3015	8.5%
o	2852	8.0%
n	2765	7.8%
a	2700	7.6%
i	2542	7.2%
s	2296	6.5%
r	2196	6.2%
h	1821	5.1%
l	1501	4.2%
Other values (28)	9438	26.6%

Uppercase Letter

Value	Count	Frequency (%)
S	128	10.1%
T	105	8.3%
L	93	7.3%
W	93	7.3%
A	92	7.2%
B	60	4.7%
M	59	4.6%
I	58	4.6%
Y	57	4.5%
C	56	4.4%
Other values (18)	468	36.9%

Other Punctuation

Value	Count	Frequency (%)
,	484	37.2%
.	389	29.9%
/	203	15.6%
'	112	8.6%
"	39	3.0%
!	21	1.6%
:	20	1.5%
;	18	1.4%
?	14	1.1%
&	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	26	30.6%
1	16	18.8%
2	16	18.8%
3	6	7.1%
4	5	5.9%
9	5	5.9%
8	4	4.7%
5	4	4.7%
7	3	3.5%

Math Symbol

Value	Count	Frequency (%)
>	387	49.9%
<	387	49.9%
+	1	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	89	90.8%
—	7	7.1%
–	2	2.0%

Space Separator

Value	Count	Frequency (%)
	7709	99.8%
	12	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	13	100.0%

Format

Value	Count	Frequency (%)
‎	12	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36804	78.6%
Common	10019	21.4%
Cyrillic	11	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4420	12.0%
t	3015	8.2%
o	2852	7.7%
n	2765	7.5%
a	2700	7.3%
i	2542	6.9%
s	2296	6.2%
r	2196	6.0%
h	1821	4.9%
l	1501	4.1%
Other values (46)	10696	29.1%

Common

Value	Count	Frequency (%)
	7709	76.9%
,	484	4.8%
.	389	3.9%
>	387	3.9%
<	387	3.9%
/	203	2.0%
'	112	1.1%
-	89	0.9%
"	39	0.4%
0	26	0.3%
Other values (21)	194	1.9%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
у	1	9.1%
ж	1	9.1%
с	1	9.1%
к	1	9.1%
я	1	9.1%
т	1	9.1%
е	1	9.1%
м	1	9.1%
М	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46780	99.9%
None	22	< 0.1%
Punctuation	21	< 0.1%
Cyrillic	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7709	16.5%
e	4420	9.4%
t	3015	6.4%
o	2852	6.1%
n	2765	5.9%
a	2700	5.8%
i	2542	5.4%
s	2296	4.9%
r	2196	4.7%
h	1821	3.9%
Other values (69)	14464	30.9%

Punctuation

Value	Count	Frequency (%)
‎	12	57.1%
—	7	33.3%
–	2	9.5%

None

Value	Count	Frequency (%)
	12	54.5%
ö	4	18.2%
Í	3	13.6%
ä	2	9.1%
á	1	4.5%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
у	1	9.1%
ж	1	9.1%
с	1	9.1%
к	1	9.1%
я	1	9.1%
т	1	9.1%
е	1	9.1%
м	1	9.1%
М	1	9.1%

_embedded.show.updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	80
Distinct (%)	59.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1641076505

Minimum	1604587145
Maximum	1662307326
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 KiB

Quantile statistics

Minimum	1604587145
5-th percentile	1609378127
Q1	1631482776
median	1647025026
Q3	1653500557
95-th percentile	1661115158
Maximum	1662307326
Range	57720181
Interquartile range (IQR)	22017780.5

Descriptive statistics

Standard deviation	16015417.43
Coefficient of variation (CV)	0.009759092512
Kurtosis	-0.6362320257
Mean	1641076505
Median Absolute Deviation (MAD)	7568125
Skewness	-0.7726484318
Sum	2.215453282 × 10¹¹
Variance	2.564935956 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1640013095	13	9.6%
1650280105	8	5.9%
1647562926	7	5.2%
1609008712	6	4.4%
1647025026	5	3.7%
1620899446	4	3.0%
1654593151	4	3.0%
1634292467	3	2.2%
1655000810	3	2.2%
1652039298	3	2.2%
Other values (70)	79	58.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1604587145	1	0.7%
1609008712	6	4.4%
1609536448	1	0.7%
1610308004	1	0.7%
1611976381	1	0.7%
1612516664	1	0.7%
1612980960	1	0.7%
1613088348	1	0.7%
1614088607	1	0.7%
1614100914	1	0.7%

Value	Count	Frequency (%)
1662307326	1	0.7%
1662306210	1	0.7%
1662290859	1	0.7%
1661520587	1	0.7%
1661363644	1	0.7%
1661341463	1	0.7%
1661178350	1	0.7%
1661088075	1	0.7%
1660929688	1	0.7%
1660261886	2	1.5%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	80
Distinct (%)	59.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

https://api.tvmaze.com/shows/59579	13
https://api.tvmaze.com/shows/42966	8
https://api.tvmaze.com/shows/14055	7
https://api.tvmaze.com/shows/52372	6
https://api.tvmaze.com/shows/60949	5
Other values (75)	96

Length

Max length	34
Median length	34
Mean length	33.99259259
Min length	33

Characters and Unicode

Total characters	4589
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	45.2%

Sample

1st row	https://api.tvmaze.com/shows/7847
2nd row	https://api.tvmaze.com/shows/38199
3rd row	https://api.tvmaze.com/shows/48288
4th row	https://api.tvmaze.com/shows/49280
5th row	https://api.tvmaze.com/shows/52520

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/59579	13	9.6%
https://api.tvmaze.com/shows/42966	8	5.9%
https://api.tvmaze.com/shows/14055	7	5.2%
https://api.tvmaze.com/shows/52372	6	4.4%
https://api.tvmaze.com/shows/60949	5	3.7%
https://api.tvmaze.com/shows/32611	4	3.0%
https://api.tvmaze.com/shows/52451	4	3.0%
https://api.tvmaze.com/shows/57029	3	2.2%
https://api.tvmaze.com/shows/51971	3	2.2%
https://api.tvmaze.com/shows/61909	3	2.2%
Other values (70)	79	58.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/59579	13	9.6%
https://api.tvmaze.com/shows/42966	8	5.9%
https://api.tvmaze.com/shows/14055	7	5.2%
https://api.tvmaze.com/shows/52372	6	4.4%
https://api.tvmaze.com/shows/60949	5	3.7%
https://api.tvmaze.com/shows/32611	4	3.0%
https://api.tvmaze.com/shows/52451	4	3.0%
https://api.tvmaze.com/shows/57029	3	2.2%
https://api.tvmaze.com/shows/51971	3	2.2%
https://api.tvmaze.com/shows/61909	3	2.2%
Other values (70)	79	58.5%

Most occurring characters

Value	Count	Frequency (%)
/	540	11.8%
s	405	8.8%
t	405	8.8%
h	270	5.9%
p	270	5.9%
a	270	5.9%
.	270	5.9%
o	270	5.9%
m	270	5.9%
5	137	3.0%
Other values (16)	1482	32.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2970	64.7%
Other Punctuation	945	20.6%
Decimal Number	674	14.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	405	13.6%
t	405	13.6%
h	270	9.1%
p	270	9.1%
a	270	9.1%
o	270	9.1%
m	270	9.1%
e	135	4.5%
w	135	4.5%
c	135	4.5%
Other values (3)	405	13.6%

Decimal Number

Value	Count	Frequency (%)
5	137	20.3%
2	85	12.6%
9	79	11.7%
4	76	11.3%
1	68	10.1%
6	66	9.8%
7	53	7.9%
0	48	7.1%
3	33	4.9%
8	29	4.3%

Other Punctuation

Value	Count	Frequency (%)
/	540	57.1%
.	270	28.6%
:	135	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2970	64.7%
Common	1619	35.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	540	33.4%
.	270	16.7%
5	137	8.5%
:	135	8.3%
2	85	5.3%
9	79	4.9%
4	76	4.7%
1	68	4.2%
6	66	4.1%
7	53	3.3%
Other values (3)	110	6.8%

Latin

Value	Count	Frequency (%)
s	405	13.6%
t	405	13.6%
h	270	9.1%
p	270	9.1%
a	270	9.1%
o	270	9.1%
m	270	9.1%
e	135	4.5%
w	135	4.5%
c	135	4.5%
Other values (3)	405	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4589	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	540	11.8%
s	405	8.8%
t	405	8.8%
h	270	5.9%
p	270	5.9%
a	270	5.9%
.	270	5.9%
o	270	5.9%
m	270	5.9%
5	137	3.0%
Other values (16)	1482	32.3%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	80
Distinct (%)	59.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 KiB

https://api.tvmaze.com/episodes/2240467	13
https://api.tvmaze.com/episodes/2298229	8
https://api.tvmaze.com/episodes/2294357	7
https://api.tvmaze.com/episodes/1993103	6
https://api.tvmaze.com/episodes/2292876	5
Other values (75)	96

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	5265
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	45.2%

Sample

1st row	https://api.tvmaze.com/episodes/2338362
2nd row	https://api.tvmaze.com/episodes/2370911
3rd row	https://api.tvmaze.com/episodes/2362860
4th row	https://api.tvmaze.com/episodes/1960733
5th row	https://api.tvmaze.com/episodes/1988016

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2240467	13	9.6%
https://api.tvmaze.com/episodes/2298229	8	5.9%
https://api.tvmaze.com/episodes/2294357	7	5.2%
https://api.tvmaze.com/episodes/1993103	6	4.4%
https://api.tvmaze.com/episodes/2292876	5	3.7%
https://api.tvmaze.com/episodes/1976543	4	3.0%
https://api.tvmaze.com/episodes/1986174	4	3.0%
https://api.tvmaze.com/episodes/2153867	3	2.2%
https://api.tvmaze.com/episodes/1974824	3	2.2%
https://api.tvmaze.com/episodes/2323795	3	2.2%
Other values (70)	79	58.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2240467	13	9.6%
https://api.tvmaze.com/episodes/2298229	8	5.9%
https://api.tvmaze.com/episodes/2294357	7	5.2%
https://api.tvmaze.com/episodes/1993103	6	4.4%
https://api.tvmaze.com/episodes/2292876	5	3.7%
https://api.tvmaze.com/episodes/1976543	4	3.0%
https://api.tvmaze.com/episodes/1986174	4	3.0%
https://api.tvmaze.com/episodes/2153867	3	2.2%
https://api.tvmaze.com/episodes/1974824	3	2.2%
https://api.tvmaze.com/episodes/2323795	3	2.2%
Other values (70)	79	58.5%

Most occurring characters

Value	Count	Frequency (%)
/	540	10.3%
t	405	7.7%
p	405	7.7%
s	405	7.7%
e	405	7.7%
a	270	5.1%
i	270	5.1%
.	270	5.1%
m	270	5.1%
o	270	5.1%
Other values (16)	1755	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3375	64.1%
Other Punctuation	945	17.9%
Decimal Number	945	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	405	12.0%
p	405	12.0%
s	405	12.0%
e	405	12.0%
a	270	8.0%
i	270	8.0%
m	270	8.0%
o	270	8.0%
h	135	4.0%
d	135	4.0%
Other values (3)	405	12.0%

Decimal Number

Value	Count	Frequency (%)
2	201	21.3%
9	120	12.7%
7	101	10.7%
4	86	9.1%
1	86	9.1%
3	84	8.9%
0	69	7.3%
6	67	7.1%
8	67	7.1%
5	64	6.8%

Other Punctuation

Value	Count	Frequency (%)
/	540	57.1%
.	270	28.6%
:	135	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3375	64.1%
Common	1890	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	540	28.6%
.	270	14.3%
2	201	10.6%
:	135	7.1%
9	120	6.3%
7	101	5.3%
4	86	4.6%
1	86	4.6%
3	84	4.4%
0	69	3.7%
Other values (3)	198	10.5%

Latin

Value	Count	Frequency (%)
t	405	12.0%
p	405	12.0%
s	405	12.0%
e	405	12.0%
a	270	8.0%
i	270	8.0%
m	270	8.0%
o	270	8.0%
h	135	4.0%
d	135	4.0%
Other values (3)	405	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5265	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	540	10.3%
t	405	7.7%
p	405	7.7%
s	405	7.7%
e	405	7.7%
a	270	5.1%
i	270	5.1%
.	270	5.1%
m	270	5.1%
o	270	5.1%
Other values (16)	1755	33.3%

_embedded.show._links.nextepisode.href
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

https://api.tvmaze.com/episodes/2338363	1

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	39
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2338363

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2338363	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2338363	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
/	4	10.3%
3	4	10.3%
p	3	7.7%
s	3	7.7%
t	3	7.7%
e	3	7.7%
m	2	5.1%
o	2	5.1%
a	2	5.1%
i	2	5.1%
Other values (10)	11	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25	64.1%
Other Punctuation	7	17.9%
Decimal Number	7	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	3	12.0%
s	3	12.0%
t	3	12.0%
e	3	12.0%
m	2	8.0%
o	2	8.0%
a	2	8.0%
i	2	8.0%
d	1	4.0%
h	1	4.0%
Other values (3)	3	12.0%

Decimal Number

Value	Count	Frequency (%)
3	4	57.1%
8	1	14.3%
2	1	14.3%
6	1	14.3%

Other Punctuation

Value	Count	Frequency (%)
/	4	57.1%
.	2	28.6%
:	1	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25	64.1%
Common	14	35.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
p	3	12.0%
s	3	12.0%
t	3	12.0%
e	3	12.0%
m	2	8.0%
o	2	8.0%
a	2	8.0%
i	2	8.0%
d	1	4.0%
h	1	4.0%
Other values (3)	3	12.0%

Common

Value	Count	Frequency (%)
/	4	28.6%
3	4	28.6%
.	2	14.3%
8	1	7.1%
2	1	7.1%
:	1	7.1%
6	1	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	4	10.3%
3	4	10.3%
p	3	7.7%
s	3	7.7%
t	3	7.7%
e	3	7.7%
m	2	5.1%
o	2	5.1%
a	2	5.1%
i	2	5.1%
Other values (10)	11	28.2%

image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	53
Distinct (%)	100.0%
Missing	82
Missing (%)	60.7%
Memory size	1.2 KiB

https://static.tvmaze.com/uploads/images/medium_landscape/290/726645.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/290/726578.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/290/726629.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/291/729312.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/290/727232.jpg	1
Other values (48)	48

Length

Max length	73
Median length	72
Mean length	72.01886792
Min length	72

Characters and Unicode

Total characters	3817
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_landscape/353/883109.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_landscape/410/1026277.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_landscape/393/983022.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_landscape/393/983023.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_landscape/295/738238.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726645.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726578.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726629.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/291/729312.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/290/727232.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728783.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727777.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/293/732804.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726584.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726632.jpg	1	0.7%
Other values (43)	43	31.9%
(Missing)	82	60.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/290/726645.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726551.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/410/1026277.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/393/983022.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/393/983023.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/295/738238.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/285/714188.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726879.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726880.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726881.jpg	1	1.9%
Other values (43)	43	81.1%

Most occurring characters

Value	Count	Frequency (%)
/	371	9.7%
a	318	8.3%
s	265	6.9%
m	265	6.9%
t	265	6.9%
p	212	5.6%
e	212	5.6%
i	159	4.2%
c	159	4.2%
.	159	4.2%
Other values (22)	1432	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2703	70.8%
Other Punctuation	583	15.3%
Decimal Number	478	12.5%
Connector Punctuation	53	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	318	11.8%
s	265	9.8%
m	265	9.8%
t	265	9.8%
p	212	7.8%
e	212	7.8%
i	159	5.9%
c	159	5.9%
d	159	5.9%
u	106	3.9%
Other values (8)	583	21.6%

Decimal Number

Value	Count	Frequency (%)
2	107	22.4%
7	66	13.8%
9	58	12.1%
0	47	9.8%
6	46	9.6%
5	44	9.2%
3	39	8.2%
8	36	7.5%
1	20	4.2%
4	15	3.1%

Other Punctuation

Value	Count	Frequency (%)
/	371	63.6%
.	159	27.3%
:	53	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	53	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2703	70.8%
Common	1114	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	318	11.8%
s	265	9.8%
m	265	9.8%
t	265	9.8%
p	212	7.8%
e	212	7.8%
i	159	5.9%
c	159	5.9%
d	159	5.9%
u	106	3.9%
Other values (8)	583	21.6%

Common

Value	Count	Frequency (%)
/	371	33.3%
.	159	14.3%
2	107	9.6%
7	66	5.9%
9	58	5.2%
_	53	4.8%
:	53	4.8%
0	47	4.2%
6	46	4.1%
5	44	3.9%
Other values (4)	110	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3817	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	371	9.7%
a	318	8.3%
s	265	6.9%
m	265	6.9%
t	265	6.9%
p	212	5.6%
e	212	5.6%
i	159	4.2%
c	159	4.2%
.	159	4.2%
Other values (22)	1432	37.5%

image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	53
Distinct (%)	100.0%
Missing	82
Missing (%)	60.7%
Memory size	1.2 KiB

https://static.tvmaze.com/uploads/images/original_untouched/290/726645.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/290/726578.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/290/726629.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/291/729312.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/290/727232.jpg	1
Other values (48)	48

Length

Max length	75
Median length	74
Mean length	74.01886792
Min length	74

Characters and Unicode

Total characters	3923
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/353/883109.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/410/1026277.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/393/983022.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/393/983023.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/295/738238.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726645.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/290/726578.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/290/726629.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/729312.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/290/727232.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/728783.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/727777.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/293/732804.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/290/726584.jpg	1	0.7%
https://static.tvmaze.com/uploads/images/original_untouched/290/726632.jpg	1	0.7%
Other values (43)	43	31.9%
(Missing)	82	60.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/290/726645.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726551.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/410/1026277.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/393/983022.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/393/983023.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/295/738238.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/285/714188.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726879.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726880.jpg	1	1.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/726881.jpg	1	1.9%
Other values (43)	43	81.1%

Most occurring characters

Value	Count	Frequency (%)
/	371	9.5%
t	318	8.1%
a	265	6.8%
s	212	5.4%
o	212	5.4%
i	212	5.4%
m	159	4.1%
u	159	4.1%
e	159	4.1%
g	159	4.1%
Other values (23)	1697	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2809	71.6%
Other Punctuation	583	14.9%
Decimal Number	478	12.2%
Connector Punctuation	53	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	318	11.3%
a	265	9.4%
s	212	7.5%
o	212	7.5%
i	212	7.5%
m	159	5.7%
u	159	5.7%
e	159	5.7%
g	159	5.7%
c	159	5.7%
Other values (9)	795	28.3%

Decimal Number

Value	Count	Frequency (%)
2	107	22.4%
7	66	13.8%
9	58	12.1%
0	47	9.8%
6	46	9.6%
5	44	9.2%
3	39	8.2%
8	36	7.5%
1	20	4.2%
4	15	3.1%

Other Punctuation

Value	Count	Frequency (%)
/	371	63.6%
.	159	27.3%
:	53	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	53	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2809	71.6%
Common	1114	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	318	11.3%
a	265	9.4%
s	212	7.5%
o	212	7.5%
i	212	7.5%
m	159	5.7%
u	159	5.7%
e	159	5.7%
g	159	5.7%
c	159	5.7%
Other values (9)	795	28.3%

Common

Value	Count	Frequency (%)
/	371	33.3%
.	159	14.3%
2	107	9.6%
7	66	5.9%
9	58	5.2%
_	53	4.8%
:	53	4.8%
0	47	4.2%
6	46	4.1%
5	44	3.9%
Other values (4)	110	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3923	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	371	9.5%
t	318	8.1%
a	265	6.8%
s	212	5.4%
o	212	5.4%
i	212	5.4%
m	159	4.1%
u	159	4.1%
e	159	4.1%
g	159	4.1%
Other values (23)	1697	43.3%

_embedded.show.network.id
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

239.0	1

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	5
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	239.0

Common Values

Value	Count	Frequency (%)
239.0	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
239.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	1	20.0%
3	1	20.0%
9	1	20.0%
.	1	20.0%
0	1	20.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4	80.0%
Other Punctuation	1	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	1	25.0%
3	1	25.0%
9	1	25.0%
0	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	1	20.0%
3	1	20.0%
9	1	20.0%
.	1	20.0%
0	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	1	20.0%
3	1	20.0%
9	1	20.0%
.	1	20.0%
0	1	20.0%

_embedded.show.network.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

Россия 1	1

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	8
Distinct characters	7
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Россия 1

Common Values

Value	Count	Frequency (%)
Россия 1	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
россия	1	50.0%
1	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
с	2	25.0%
Р	1	12.5%
о	1	12.5%
и	1	12.5%
я	1	12.5%
	1	12.5%
1	1	12.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5	62.5%
Uppercase Letter	1	12.5%
Space Separator	1	12.5%
Decimal Number	1	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
с	2	40.0%
о	1	20.0%
и	1	20.0%
я	1	20.0%

Uppercase Letter

Value	Count	Frequency (%)
Р	1	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Decimal Number

Value	Count	Frequency (%)
1	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	6	75.0%
Common	2	25.0%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
с	2	33.3%
Р	1	16.7%
о	1	16.7%
и	1	16.7%
я	1	16.7%

Common

Value	Count	Frequency (%)
	1	50.0%
1	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	6	75.0%
ASCII	2	25.0%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
с	2	33.3%
Р	1	16.7%
о	1	16.7%
и	1	16.7%
я	1	16.7%

ASCII

Value	Count	Frequency (%)
	1	50.0%
1	1	50.0%

_embedded.show.network.country.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

Russian Federation	1

Length

Max length	18
Median length	18
Mean length	18
Min length	18

Characters and Unicode

Total characters	18
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Russian Federation

Common Values

Value	Count	Frequency (%)
Russian Federation	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
russian	1	50.0%
federation	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
s	2	11.1%
i	2	11.1%
a	2	11.1%
n	2	11.1%
e	2	11.1%
R	1	5.6%
u	1	5.6%
	1	5.6%
F	1	5.6%
d	1	5.6%
Other values (3)	3	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15	83.3%
Uppercase Letter	2	11.1%
Space Separator	1	5.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	2	13.3%
i	2	13.3%
a	2	13.3%
n	2	13.3%
e	2	13.3%
u	1	6.7%
d	1	6.7%
r	1	6.7%
t	1	6.7%
o	1	6.7%

Uppercase Letter

Value	Count	Frequency (%)
R	1	50.0%
F	1	50.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17	94.4%
Common	1	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	2	11.8%
i	2	11.8%
a	2	11.8%
n	2	11.8%
e	2	11.8%
R	1	5.9%
u	1	5.9%
F	1	5.9%
d	1	5.9%
r	1	5.9%
Other values (2)	2	11.8%

Common

Value	Count	Frequency (%)
	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	2	11.1%
i	2	11.1%
a	2	11.1%
n	2	11.1%
e	2	11.1%
R	1	5.6%
u	1	5.6%
	1	5.6%
F	1	5.6%
d	1	5.6%
Other values (3)	3	16.7%

_embedded.show.network.country.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

RU	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	RU

Common Values

Value	Count	Frequency (%)
RU	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ru	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

_embedded.show.network.country.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

Asia/Kamchatka	1

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	14
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Asia/Kamchatka

Common Values

Value	Count	Frequency (%)
Asia/Kamchatka	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/kamchatka	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	4	28.6%
A	1	7.1%
s	1	7.1%
i	1	7.1%
/	1	7.1%
K	1	7.1%
m	1	7.1%
c	1	7.1%
h	1	7.1%
t	1	7.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11	78.6%
Uppercase Letter	2	14.3%
Other Punctuation	1	7.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4	36.4%
s	1	9.1%
i	1	9.1%
m	1	9.1%
c	1	9.1%
h	1	9.1%
t	1	9.1%
k	1	9.1%

Uppercase Letter

Value	Count	Frequency (%)
A	1	50.0%
K	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13	92.9%
Common	1	7.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4	30.8%
A	1	7.7%
s	1	7.7%
i	1	7.7%
K	1	7.7%
m	1	7.7%
c	1	7.7%
h	1	7.7%
t	1	7.7%
k	1	7.7%

Common

Value	Count	Frequency (%)
/	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4	28.6%
A	1	7.1%
s	1	7.1%
i	1	7.1%
/	1	7.1%
K	1	7.1%
m	1	7.1%
c	1	7.1%
h	1	7.1%
t	1	7.1%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	135
Missing (%)	100.0%
Memory size	1.2 KiB

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

Russian Federation	1

Length

Max length	18
Median length	18
Mean length	18
Min length	18

Characters and Unicode

Total characters	18
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Russian Federation

Common Values

Value	Count	Frequency (%)
Russian Federation	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
russian	1	50.0%
federation	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
s	2	11.1%
i	2	11.1%
a	2	11.1%
n	2	11.1%
e	2	11.1%
R	1	5.6%
u	1	5.6%
	1	5.6%
F	1	5.6%
d	1	5.6%
Other values (3)	3	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15	83.3%
Uppercase Letter	2	11.1%
Space Separator	1	5.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	2	13.3%
i	2	13.3%
a	2	13.3%
n	2	13.3%
e	2	13.3%
u	1	6.7%
d	1	6.7%
r	1	6.7%
t	1	6.7%
o	1	6.7%

Uppercase Letter

Value	Count	Frequency (%)
R	1	50.0%
F	1	50.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17	94.4%
Common	1	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	2	11.8%
i	2	11.8%
a	2	11.8%
n	2	11.8%
e	2	11.8%
R	1	5.9%
u	1	5.9%
F	1	5.9%
d	1	5.9%
r	1	5.9%
Other values (2)	2	11.8%

Common

Value	Count	Frequency (%)
	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	2	11.1%
i	2	11.1%
a	2	11.1%
n	2	11.1%
e	2	11.1%
R	1	5.6%
u	1	5.6%
	1	5.6%
F	1	5.6%
d	1	5.6%
Other values (3)	3	16.7%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

RU	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	RU

Common Values

Value	Count	Frequency (%)
RU	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ru	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	1	50.0%
U	1	50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	134
Missing (%)	99.3%
Memory size	1.2 KiB

Asia/Kamchatka	1

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	14
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Asia/Kamchatka

Common Values

Value	Count	Frequency (%)
Asia/Kamchatka	1	0.7%
(Missing)	134	99.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/kamchatka	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	4	28.6%
A	1	7.1%
s	1	7.1%
i	1	7.1%
/	1	7.1%
K	1	7.1%
m	1	7.1%
c	1	7.1%
h	1	7.1%
t	1	7.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11	78.6%
Uppercase Letter	2	14.3%
Other Punctuation	1	7.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4	36.4%
s	1	9.1%
i	1	9.1%
m	1	9.1%
c	1	9.1%
h	1	9.1%
t	1	9.1%
k	1	9.1%

Uppercase Letter

Value	Count	Frequency (%)
A	1	50.0%
K	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13	92.9%
Common	1	7.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4	30.8%
A	1	7.7%
s	1	7.7%
i	1	7.7%
K	1	7.7%
m	1	7.7%
c	1	7.7%
h	1	7.7%
t	1	7.7%
k	1	7.7%

Common

Value	Count	Frequency (%)
/	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4	28.6%
A	1	7.1%
s	1	7.1%
i	1	7.1%
/	1	7.1%
K	1	7.1%
m	1	7.1%
c	1	7.1%
h	1	7.1%
t	1	7.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	rating.average	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	_embedded.show._links.nextepisode.href	image.medium	image.original	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.webChannel.country	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
0	1968115	https://www.tvmaze.com/episodes/1968115/po-sezonu-videodajdzest-seasonvar-6x52-vypusk-306	Выпуск 306	6	52.0	regular	2020-12-25		2020-12-25T00:00:00+00:00	7.0	NaN	None	NaN	https://api.tvmaze.com/episodes/1968115	7847	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar	По сезону. Видеодайджест Seasonvar	Talk Show	Russian	[]	Running	9.0	8.0	2015-02-13	None	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html		[Friday]	NaN	57	NaN	56.0	Seasonvar	Russian Federation	RU	Asia/Kamchatka	None	NaN	None	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/294/735323.jpg	https://static.tvmaze.com/uploads/images/original_untouched/294/735323.jpg	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>	1662290859	https://api.tvmaze.com/shows/7847	https://api.tvmaze.com/episodes/2338362	https://api.tvmaze.com/episodes/2338363	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	2121269	https://www.tvmaze.com/episodes/2121269/fiksiki-4x18-sanki	Санки	4	18.0	regular	2020-12-25		2020-12-25T00:00:00+00:00	6.0	NaN	None	NaN	https://api.tvmaze.com/episodes/2121269	38199	https://www.tvmaze.com/shows/38199/fiksiki	Фиксики	Animation	Russian	[]	Running	6.0	6.0	2010-12-13	None	http://www.fixiki.ru		[Friday]	NaN	11	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	None	244021.0	tt3886188	https://static.tvmaze.com/uploads/images/medium_portrait/164/410098.jpg	https://static.tvmaze.com/uploads/images/original_untouched/164/410098.jpg	None	1659704750	https://api.tvmaze.com/shows/38199	https://api.tvmaze.com/episodes/2370911	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/353/883109.jpg	https://static.tvmaze.com/uploads/images/original_untouched/353/883109.jpg	239.0	Россия 1	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1984017	https://www.tvmaze.com/episodes/1984017/roast-battle-labelcom-1x15-15-dana-milohin	#15 - Даня Милохин	1	15.0	regular	2020-12-25		2020-12-25T00:00:00+00:00	53.0	NaN	None	NaN	https://api.tvmaze.com/episodes/1984017	48288	https://www.tvmaze.com/shows/48288/roast-battle-labelcom	Roast Battle Labelcom	Game Show	Russian	[Comedy]	Running	50.0	53.0	2019-12-24	None	https://www.youtube.com/playlist?list=PLmkbS48df311cZnmhlV-5q5vY0icLXdl3		[Monday]	NaN	24	NaN	21.0	YouTube	NaN	NaN	NaN	https://www.youtube.com	NaN	None	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/267/668782.jpg	https://static.tvmaze.com/uploads/images/original_untouched/267/668782.jpg	<p>A bold humorous show in which comedians fight for 50,000 rubles! Six comedians will take to the stage to "fry" each other. The top two will go to the final, and only one will take the money with them!</p>	1658030622	https://api.tvmaze.com/shows/48288	https://api.tvmaze.com/episodes/2362860	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1991483	https://www.tvmaze.com/episodes/1991483/psih-s01-special-film-o-filme	Фильм о фильме	1	NaN	insignificant_special	2020-12-25	12:00	2020-12-25T00:00:00+00:00	29.0	NaN	None	NaN	https://api.tvmaze.com/episodes/1991483	49280	https://www.tvmaze.com/shows/49280/psih	Псих	Scripted	Russian	[Drama, Thriller]	Ended	62.0	62.0	2020-11-05	2020-12-24	https://more.tv/psih		[Thursday]	NaN	27	NaN	246.0	more.tv	Russian Federation	RU	Asia/Kamchatka	None	NaN	None	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/295/739859.jpg	https://static.tvmaze.com/uploads/images/original_untouched/295/739859.jpg	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>	1653851744	https://api.tvmaze.com/shows/49280	https://api.tvmaze.com/episodes/1960733	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/410/1026277.jpg	https://static.tvmaze.com/uploads/images/original_untouched/410/1026277.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	1988016	https://www.tvmaze.com/episodes/1988016/muzskaa-tema-1x05-seria-5	Серия 5	1	5.0	regular	2020-12-25	12:00	2020-12-25T00:00:00+00:00	30.0	NaN	None	NaN	https://api.tvmaze.com/episodes/1988016	52520	https://www.tvmaze.com/shows/52520/muzskaa-tema	Мужская тема	Talk Show	Russian	[]	Ended	30.0	30.0	2020-12-17	2020-12-25	https://www.ivi.ru/watch/muzhskaya-tema	12:00	[Monday, Tuesday, Wednesday, Thursday, Friday]	NaN	4	NaN	337.0	ivi	Russian Federation	RU	Asia/Kamchatka	https://www.ivi.ru/	NaN	None	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/289/723328.jpg	https://static.tvmaze.com/uploads/images/original_untouched/289/723328.jpg	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>	1616722619	https://api.tvmaze.com/shows/52520	https://api.tvmaze.com/episodes/1988016	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	2062929	https://www.tvmaze.com/episodes/2062929/god-of-ten-thousand-realms-1x04-episode-4	Episode 4	1	4.0	regular	2020-12-25	10:00	2020-12-25T02:00:00+00:00	7.0	NaN	None	NaN	https://api.tvmaze.com/episodes/2062929	54541	https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms	God of Ten Thousand Realms	Animation	Chinese	[Adventure, Anime, Fantasy]	Running	7.0	7.0	2020-12-21	None	https://v.qq.com/detail/m/mzc002007995z4v.html	10:00	[Monday, Friday]	NaN	54	NaN	104.0	Tencent QQ	China	CN	Asia/Shanghai	https://v.qq.com/	NaN	None	394467.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg	https://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg	<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>	1642689319	https://api.tvmaze.com/shows/54541	https://api.tvmaze.com/episodes/2261133	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	2353918	https://www.tvmaze.com/episodes/2353918/300-year-old-class-of-2020-1x05-episode-5	Episode 5	1	5.0	regular	2020-12-25		2020-12-25T03:00:00+00:00	14.0	NaN	None	NaN	https://api.tvmaze.com/episodes/2353918	62764	https://www.tvmaze.com/shows/62764/300-year-old-class-of-2020	300 Year-Old Class of 2020	Scripted	Korean	[Comedy, Fantasy, History]	Ended	NaN	15.0	2020-12-21	2020-12-28	None		[Monday]	NaN	44	NaN	30.0	Naver TVCast	Korea, Republic of	KR	Asia/Seoul	https://tv.naver.com/	NaN	None	410187.0	tt14125832	https://static.tvmaze.com/uploads/images/medium_portrait/414/1035476.jpg	https://static.tvmaze.com/uploads/images/original_untouched/414/1035476.jpg	<p>The series is a fantasy comic web drama that tells a story of three students, who were studying in Seowon during the Joseon period accidently time travel and arrive at present-day Seowon in 2020.</p>	1656357007	https://api.tvmaze.com/shows/62764	https://api.tvmaze.com/episodes/2353919	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	2030154	https://www.tvmaze.com/episodes/2030154/fox-spirit-matchmaker-9x04-episode-125	Episode 125	9	4.0	regular	2020-12-25		2020-12-25T04:00:00+00:00	10.0	NaN	None	NaN	https://api.tvmaze.com/episodes/2030154	20734	https://www.tvmaze.com/shows/20734/fox-spirit-matchmaker	Fox Spirit Matchmaker	Animation	Chinese	[Comedy, Anime, Fantasy, Romance]	Running	10.0	10.0	2015-06-26	None	http://www.bilibili.com/bangumi/%E7%8B%90%E5%A6%96%E5%B0%8F%E7%BA%A2%E5%A8%98/		[Friday]	NaN	68	NaN	51.0	Bilibili	China	CN	Asia/Shanghai	None	NaN	None	310311.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/73/183375.jpg	https://static.tvmaze.com/uploads/images/original_untouched/73/183375.jpg	<p>Buy UCO from childhood grew up in the clan, Ichigo, but their "care" was for him a living Hell. Constant bullying, stealing the Goodies, without which Ycu can not live, and even eternal persecution, from the fair sex turned him into a goner cheapskate who wants to take revenge on his tormentors. But revenge is sweet and the path to it is thorny and to accomplish, UCU need to marry a girl Yes, as soon as possible. But when the heroes just happen? Never! And meeting with the small and the big-eared Fox Susan su su did not just destroy his plans, but starts spinning the wheel of fate that was waiting in the wings for hundreds of years!</p>	1629636336	https://api.tvmaze.com/shows/20734	https://api.tvmaze.com/episodes/2153563	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	2324416	https://www.tvmaze.com/episodes/2324416/unique-lady-2x07-episode-7	Episode 7	2	7.0	regular	2020-12-25	12:00	2020-12-25T04:00:00+00:00	38.0	NaN	None	NaN	https://api.tvmaze.com/episodes/2324416	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	[Drama, Comedy, Romance]	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html		[Thursday, Friday, Saturday]	NaN	35	NaN	67.0	iQIYI	NaN	NaN	NaN	https://www.iq.com/	NaN	None	360222.0	tt11939550	https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg	https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1654382071	https://api.tvmaze.com/shows/41490	https://api.tvmaze.com/episodes/2324440	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	2324417	https://www.tvmaze.com/episodes/2324417/unique-lady-2x08-episode-8	Episode 8	2	8.0	regular	2020-12-25	12:00	2020-12-25T04:00:00+00:00	38.0	NaN	None	NaN	https://api.tvmaze.com/episodes/2324417	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	[Drama, Comedy, Romance]	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html		[Thursday, Friday, Saturday]	NaN	35	NaN	67.0	iQIYI	NaN	NaN	NaN	https://www.iq.com/	NaN	None	360222.0	tt11939550	https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg	https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1654382071	https://api.tvmaze.com/shows/41490	https://api.tvmaze.com/episodes/2324440	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	rating.average	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	_embedded.show._links.nextepisode.href	image.medium	image.original	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.webChannel.country	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
125	1972066	https://www.tvmaze.com/episodes/1972066/letterkenny-9x01-american-buck-and-doe	American Buck and Doe	9	1.0	regular	2020-12-25		2020-12-25T16:00:00+00:00	24.0	NaN	<p>Post-fight with Dierks, the hicks/skids and hockey players attend an American Buck and Doe.</p>	7.2	https://api.tvmaze.com/episodes/1972066	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	[Comedy]	Running	NaN	24.0	2016-02-07	None	https://www.crave.ca/tv-shows/letterkenny		[]	8.2	95	NaN	109.0	CraveTV	Canada	CA	America/Halifax	None	NaN	None	302938.0	tt4647692	https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1647562926	https://api.tvmaze.com/shows/14055	https://api.tvmaze.com/episodes/2294357	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726554.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726554.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
126	1972067	https://www.tvmaze.com/episodes/1972067/letterkenny-9x02-kids-with-problems	Kids with Problems	9	2.0	regular	2020-12-25		2020-12-25T16:00:00+00:00	30.0	NaN	<p>Kids with problems are given important life lessons…and hot dogs.</p>	8.0	https://api.tvmaze.com/episodes/1972067	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	[Comedy]	Running	NaN	24.0	2016-02-07	None	https://www.crave.ca/tv-shows/letterkenny		[]	8.2	95	NaN	109.0	CraveTV	Canada	CA	America/Halifax	None	NaN	None	302938.0	tt4647692	https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1647562926	https://api.tvmaze.com/shows/14055	https://api.tvmaze.com/episodes/2294357	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726555.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726555.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
127	1972068	https://www.tvmaze.com/episodes/1972068/letterkenny-9x03-scorched-earth	Scorched Earth	9	3.0	regular	2020-12-25		2020-12-25T16:00:00+00:00	21.0	NaN	<p>Katy takes her scorched earth strategy to Letterkenny. Gail gets some action of her own.</p>	7.8	https://api.tvmaze.com/episodes/1972068	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	[Comedy]	Running	NaN	24.0	2016-02-07	None	https://www.crave.ca/tv-shows/letterkenny		[]	8.2	95	NaN	109.0	CraveTV	Canada	CA	America/Halifax	None	NaN	None	302938.0	tt4647692	https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1647562926	https://api.tvmaze.com/shows/14055	https://api.tvmaze.com/episodes/2294357	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726556.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726556.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
128	1972069	https://www.tvmaze.com/episodes/1972069/letterkenny-9x04-mitzvah	Mitzvah	9	4.0	regular	2020-12-25		2020-12-25T16:00:00+00:00	20.0	NaN	<p>The hockey players learn about Judaism.</p>	8.3	https://api.tvmaze.com/episodes/1972069	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	[Comedy]	Running	NaN	24.0	2016-02-07	None	https://www.crave.ca/tv-shows/letterkenny		[]	8.2	95	NaN	109.0	CraveTV	Canada	CA	America/Halifax	None	NaN	None	302938.0	tt4647692	https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1647562926	https://api.tvmaze.com/shows/14055	https://api.tvmaze.com/episodes/2294357	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726557.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726557.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
129	1972070	https://www.tvmaze.com/episodes/1972070/letterkenny-9x05-sleepover	Sleepover	9	5.0	regular	2020-12-25		2020-12-25T16:00:00+00:00	20.0	NaN	<p>Sleepover activities only; movies, board games and girl talk.</p>	8.3	https://api.tvmaze.com/episodes/1972070	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	[Comedy]	Running	NaN	24.0	2016-02-07	None	https://www.crave.ca/tv-shows/letterkenny		[]	8.2	95	NaN	109.0	CraveTV	Canada	CA	America/Halifax	None	NaN	None	302938.0	tt4647692	https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1647562926	https://api.tvmaze.com/shows/14055	https://api.tvmaze.com/episodes/2294357	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726558.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726558.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
130	1972071	https://www.tvmaze.com/episodes/1972071/letterkenny-9x06-breastaurant	Breastaurant	9	6.0	regular	2020-12-25		2020-12-25T16:00:00+00:00	20.0	NaN	<p>A breastaurant opens in Letterkenny.</p>	7.2	https://api.tvmaze.com/episodes/1972071	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	[Comedy]	Running	NaN	24.0	2016-02-07	None	https://www.crave.ca/tv-shows/letterkenny		[]	8.2	95	NaN	109.0	CraveTV	Canada	CA	America/Halifax	None	NaN	None	302938.0	tt4647692	https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1647562926	https://api.tvmaze.com/shows/14055	https://api.tvmaze.com/episodes/2294357	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726559.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726559.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
131	1972072	https://www.tvmaze.com/episodes/1972072/letterkenny-9x07-ndn-nrg	NDN NRG	9	7.0	regular	2020-12-25		2020-12-25T16:00:00+00:00	19.0	NaN	<p>Tanis starts her own energy drink.</p>	8.0	https://api.tvmaze.com/episodes/1972072	14055	https://www.tvmaze.com/shows/14055/letterkenny	Letterkenny	Scripted	English	[Comedy]	Running	NaN	24.0	2016-02-07	None	https://www.crave.ca/tv-shows/letterkenny		[]	8.2	95	NaN	109.0	CraveTV	Canada	CA	America/Halifax	None	NaN	None	302938.0	tt4647692	https://static.tvmaze.com/uploads/images/medium_portrait/290/726561.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726561.jpg	<p>Wayne is a good-ol' country boy in <b>Letterkenny</b>, Ontario trying to protect his homegrown way of life on the farm, against a world that is constantly evolving around him. The residents of Letterkenny belong to one of three groups: Hicks, Skids, and Hockey Players. The three groups are constantly feuding with each other over seemingly trivial matters; often ending with someone getting their ass kicked.</p>	1647562926	https://api.tvmaze.com/shows/14055	https://api.tvmaze.com/episodes/2294357	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/290/726560.jpg	https://static.tvmaze.com/uploads/images/original_untouched/290/726560.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
132	2215237	https://www.tvmaze.com/episodes/2215237/comedy-central-stand-up-featuring-7x04-rebecca-oneal-realizing-bernie-sanders-is-your-ideal-man	Rebecca O'Neal - Realizing Bernie Sanders Is Your Ideal Man	7	4.0	regular	2020-12-25		2020-12-25T17:00:00+00:00	NaN	NaN	<p>Rebecca O'Neal describes getting high and wanting to fight the coronavirus, and explains what sexting has been like during quarantine.</p>	NaN	https://api.tvmaze.com/episodes/2215237	40862	https://www.tvmaze.com/shows/40862/comedy-central-stand-up-featuring	Comedy Central Stand-Up Featuring	Variety	English	[Comedy]	Running	NaN	NaN	2019-01-11	None	http://www.cc.com/shows/comedy-central-stand-up-featuring		[Friday]	NaN	38	NaN	73.0	CC: Studios	United States	US	America/New_York	None	NaN	None	358389.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/378/946750.jpg	https://static.tvmaze.com/uploads/images/original_untouched/378/946750.jpg	<p>Get your stand-up fix from today's freshest young comedians as Comedy Central introduces you to up-and-coming comics, who are serving up quick hits of their sets.</p>	1656505253	https://api.tvmaze.com/shows/40862	https://api.tvmaze.com/episodes/2354757	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/378/946853.jpg	https://static.tvmaze.com/uploads/images/original_untouched/378/946853.jpg	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
133	2341527	https://www.tvmaze.com/episodes/2341527/trailer-park-boys-park-after-dark-2x31-a-very-donair-christmas	A Very Donair Christmas	2	31.0	regular	2020-12-25		2020-12-25T17:00:00+00:00	30.0	NaN	<p>Ricky, Julian and Bubbles are full of the Christmas spirit! Find out what gifts the Boys bought each other this year, and their special treat fit for a fuckin' King. Also: One more week before 2020 fucks off!</p>	NaN	https://api.tvmaze.com/episodes/2341527	62418	https://www.tvmaze.com/shows/62418/trailer-park-boys-park-after-dark	Trailer Park Boys: Park After Dark	Talk Show	English	[Comedy]	Running	30.0	30.0	2019-04-05	None	https://www.swearnet.com/shows/park-after-dark		[Friday]	NaN	9	NaN	464.0	SwearNet	Canada	CA	America/Halifax	https://www.swearnet.com	NaN	None	NaN	tt12107408	https://static.tvmaze.com/uploads/images/medium_portrait/412/1030402.jpg	https://static.tvmaze.com/uploads/images/original_untouched/412/1030402.jpg	<p>Hang out with Ricky, Julian and Bubbles in Ricky's kitchen, smoking, drinking and talking about whatever the hell pops up in their fucked up brains.</p>	1661520587	https://api.tvmaze.com/shows/62418	https://api.tvmaze.com/episodes/2380574	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
134	1987474	https://www.tvmaze.com/episodes/1987474/205-live-2020-12-25-205-live-213	205 Live #213	2020	52.0	regular	2020-12-25	22:00	2020-12-26T03:00:00+00:00	60.0	NaN	None	NaN	https://api.tvmaze.com/episodes/1987474	22536	https://www.tvmaze.com/shows/22536/205-live	205 Live	Sports	English	[]	Ended	60.0	60.0	2016-11-29	2022-02-11	https://www.wwe.com/shows/wwe-205-live	22:00	[Friday]	NaN	77	NaN	15.0	WWE Network	United States	US	America/New_York	None	NaN	None	323420.0	tt6286394	https://static.tvmaze.com/uploads/images/medium_portrait/96/240881.jpg	https://static.tvmaze.com/uploads/images/original_untouched/96/240881.jpg	<p><i>WWE 205 Live</i>, also simply called <b>205 Live</b>, is a live professional wrestling WWE Network series produced by WWE, which exclusively features the promotion's cruiserweight division, wherein all participants are billed at a weight of 205 lbs. or less.</p><p>The final episode of the series aired on February 11, 2022. On February 18, it was replaced by <i>WWE NXT: Level Up</i>.</p>	1649921818	https://api.tvmaze.com/shows/22536	https://api.tvmaze.com/episodes/2267545	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

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